We have one open position of Informatica IIC Data Engineer with one of our client based at London, UK. This is a Contract position. Below is the job description for your reference. Please share your application once you are interested.

Role: Informatica IICS Data Engineer

Mode: Contract

Location: London, UK (2 Days per week work from office)

Job Description -

We’re looking for someone with strong Informatica expertise. The core requirements are:

• Hands-on Informatica experience (IICS/ETL design and support) - this is critical
• SC clearance (or very close to obtaining it)
• Strong SQL/data engineering background, ideally in Azure-based environments

Nice to have/optional skills (not essential, but beneficial):

• Experience with Microsoft Fabric (eg Data Factory, Synapse, OneLake)
• Exposure to financial services/FinTech environments
• Familiarity with Azure DevOps and/or GitHub
• Experience with testing practices for data pipelines (unit testing, QA)
• Broader Azure data services (Azure SQL, Managed Instance, Data Lake)

1. Recent and in-depth Informatica IICS experience, ideally within Azure-based data platforms
2. modern cloud-based Informatica patterns
3. hands-on ownership of Informatica pipelines
4. recent hands-on ETL design

Recruiter email: (see below)

Technical Leads in or around London, this one’s for you!

Technical Lead | 2 x week London | £90,000 - £120,000 + benefits

We’re working with a London based finance SaaS company that is scaling its engineering capability and looking to hire a Technical Lead to support the delivery of high quality, scalable software solutions. This role offers the opportunity to lead technical delivery, collaborate closely with product and engineering teams, and help shape system design within a fast-moving, growth-focused environment.

You’ll play a key role in translating complex business requirements into robust technical solutions while mentoring developers and driving best practices.

As Technical Lead, you’ll take ownership of key services and contribute to the architecture and delivery of new features and enhancements. You’ll work with cross-functional teams to design scalable systems, manage technical priorities, and support continuous improvement across development processes.

Key Skills & Experience:

5+ years of software development experience with at least 2+ years working in either Scala, Java, Golang, or Node.
Strong experience designing and delivering production-grade services, working with relational databases and SQL, and operating in Linux/Unix environments.
Prior experience leading or mentoring engineers and collaborating with stakeholders is highly desirable.

The role suits someone comfortable operating in a fast-paced setting who enjoys solving complex engineering challenges and supporting team development.

Experience working within a SaaS financial services business would also be desirable.

If this feels like I role that could be up your street, then please do reach out with your CV and contact number

Devonshire Hayes have partnered with a fantastic organisation to help them secure a talented Senior SQL DBA

You will be tasked with the following,

• Enterprise DBA experience (SQL Server plus exposure to other data platforms)
• Performance optimisation (workload analysis, indexing/physical design, capacity planning)
• Azure managed relational experience (eg, Azure SQL MI/DB): migration, operations, and tooling
• Distributed NoSQL experience (eg, Cosmos DB/MongoDB/DynamoDB): data modelling and operational tuning
• Modern analytics/lakehouse concepts (eg, Fabric/Synapse/Databricks), pipelines, and semantic models
• Backup/restore, high availability, and disaster recovery (design, testing, and execution)
• SQL replication experience (including migration to AVG)
• Monitoring, diagnostics, and incident management (Azure Monitor, Log Analytics)
• Comfortable working in controlled production environments (change management, release windows, safe script execution) and participating in on-call support.
• Automation and CI/CD for data/database changes (PowerShell/Python; IaC where applicable)
• Database security (access control, encryption, compliance/audit).

You will be required to work in the office 1 day per week and this role will involve on call rota, once in every 2-3 weeks.

Want to join a team of passionate people who want to build a future where no one dies from skin cancer?

About us

Skin Analytics is an award winning, health tech company that deploys world leading skin cancer pathways using AI as a medical device, DERM.

Following our recent £15M series B funding, regulatory milestones hit, and doubling from 50 to 100 headcount in 2025, we are ready to scale further internationally, making history for AI in healthcare and the future of dermatology.

We are proud to epitomise AI for good - with a Class III CE mark, DERM is the only AI as a medical device approved to make clinical decisions autonomously in the cancer space, as well as the first company to receive a NICE recommendation for use across the NHS.

DERM is deployed at more than 28 NHS organisations where we enable patients to gain significantly quicker access to skin cancer diagnosis. We also collaborate with some of the largest health insurers to reach patients in their own homes.

We are a team of passionate people on a mission to build a future where no one dies from skin cancer.

Role Overview

We’re looking for a Growth Marketing Manager to build and own the digital demand engine for our international markets. This role collaborates closely with Product Marketing, Commercial Strategy and Sales. You’ll translate our cutting edge health innovations into high performing campaigns that generate MQLs and nurture them into SALs and commercial pipeline. Tracking, automation and optimisation is a key part of this role, so the right candidate is data and tech savvy.

This is a hands on position in a fast scaling environment where you’ll have full ownership of content, paid channels and funnel performance. In collaboration with Product Marketing, you shape how we bring our product to market and scale adoption.

Responsibilities

• Own and deliver MQL and SAL pipeline targets through digital first demand generation
• Build and run a content engine (creation, distribution, optimisation) aligned to our audiences across multiple markets
• Build automation tools such as agentic digital marketing systems that run campaigns and suggest optimisation
• Plan and execute paid media strategy (LinkedIn, Google, LLMs, etc.) to drive efficient acquisition
• Design and optimise the end to end marketing funnel (from first touch to qualified lead)
• Partner closely with Product Marketing to translate positioning into high performing campaigns
• Establish clear performance tracking and reporting (CPL, conversion rates, CAC, ROI) and continuously improve
• Experiment, iterate and scale what works in a test and learn environment
• Develop channel specific campaign messaging and creative

Required Experience

• Proven experience in B2B SaaS growth or demand generation marketing, a big plus for healthcare experience or other regulated B2B markets
• Strong hands on experience with paid digital channels and campaign execution
• Track record of owning pipeline or MQL targets and improving funnel performance
• Ability to create and execute content led campaigns (not just strategy) with limited or no agency support
• Highly data driven, with experience analysing and optimising marketing performance
• Competent with marketing automations in HubSpot
• Experienced in working in complex sales environments, such as multiple geographic markets and multiple products
• Lifecycle management - documentation of the customer journey from first touch to SQL, evaluating buying behaviours, ICP fit and applying lead scores

Required Behaviours

• Hands on and execution focused
• Comfortable with content switching and highly organised
• Able to challenge stakeholders and build consensus
• Self starter with strong ownership of outcomes (results, not just input)
• Resourceful and pragmatic in an ambiguous environment
• Data driven mindset with continuous optimisation focus
• Comfortable operating with accountability and pressure from commercial colleagues

Benefits

• Competitive salary
• Share options package - all employees have ownership in the company
• Private healthcare
• Company pension, including salary sacrifice options
• 25 days annual leave plus 5 days company shutdown in August plus bank holidays
• Enhanced parental leave, including adoption and foster leave
• Salary sacrifice nursery scheme - save with workplace nursery scheme
• Bike to work scheme
• Training budget
• Weekly catch ups, monthly meetings to discuss your ambitions and development
• Lots of fun social activities

Our Values

Building a Strong Foundation

Always Learning

Lead from the Front

Tough and Resilient

The Real Stuff

Diversity and Inclusion

Skin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. If you need any adjustments during our hiring process, you can indicate that at the next step.

AI Usage in Hiring

We use AI as part of our hiring process. No hiring decision is ever made by an algorithm alone. Every AI generated summary, screening result or note is reviewed, verified and, if necessary, corrected by a member of our recruitment team. Humans make the final call on who moves forward and who receives an offer.

About Marex

Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 2,300 employees across Europe, Asia and the Americas.

We are seeking an experienced Senior Counterparty Exposure Risk Manager to oversee the counterparty exposures of Marex Solutions business. The successful candidate will play a key role in ensuring robust risk management, monitoring exposures, and partnering with trading, structuring, and control functions to manage risk across multiple asset classes.

Responsibilities

• Risk Oversight: Monitor and manage counterparty exposures and market risk of Marex Solutions global business, with a focus on OTC derivatives and structured and exotic derivatives in Commodities, FX, Rates & Credit, Digital Assets and cross-asset products.
• Risk Analysis: Evaluate derivative structures, assess embedded risks, and ensure they are appropriately captured in risk systems and metrics.
• Risk and Limit Frameworks: Define, review, enhance risk measurements and methodologies, and enforce risk limits; challenge the adequacy of risk-taking activities relative to approved risk appetite.
• Product Coverage: Provide independent risk assessment of new products and complex structures, ensuring risks are well understood and controlled.
• Stakeholder Engagement: Partner with sales and trading teams, structuring, model validation, finance, and risk methodology teams to ensure accurate pricing, valuation, and risk representation.
• Governance & Reporting: Deliver clear and timely risk reporting to senior management, highlighting key risk drivers, trends, and emerging risks.
• Regulatory Compliance: Ensure adherence to internal policies and external regulatory requirements, including stress testing, capital requirements, and market conduct standards.

Skills & Competencies

• Technical & Analytical Skills
  • Risk Identification & Assessment: Skill in analysing potential operational, financial, and strategic risks using qualitative and quantitative methods.
  • Risk Analysis: Proficiency in using programming tools (e.g., Python, SQL, advanced Excel and PowerBI) for risk forecasting, scenario analysis, and stress testing.
  • Product Knowledge: A deep understanding of multiple asset classes (equities, fixed income, commodities, FX, derivatives) including their valuation and associated pricing models.
  • Regulatory Compliance: In-depth knowledge of relevant regulatory frameworks and ensuring the company remains compliant.
• Leadership & Interpersonal Skills
  • Communication & Stakeholder Management: The ability to articulate complex risk concepts and findings clearly and persuasively to diverse audiences, including senior management, traders, and regulatory bodies.
  • Collaboration: Proven experience in managing key stakeholders and coordinating across cross-functional teams.
  • Problem-Solving & Decision-Making: The ability to analyse issues, draw on expert advice, and make sound, well-reasoned recommendations under pressure.
  • Strategic Thinking & Business Acumen: The capacity to link risk management practices with overall business objectives and provide insights that align with the organization’s goals and strategies.

Experience and Qualifications

• Bachelor’s or Master’s degree in Finance, Mathematics, Engineering, or a related quantitative discipline; CFA/FRM is a plus.
• Circa 15+ years of market risk or trading/structuring experience within a leading financial institution, with exposure to structured and exotic derivatives.
• Deep understanding of derivative pricing models and risk sensitivities across multiple asset classes (Equity, FX, Rates, Credit, Commodities and Digital assets).
• Strong knowledge of risk management frameworks, stress testing methodologies, and capital/regulatory requirements.
• Excellent analytical skills and ability to interpret complex risks into clear, actionable insights.
• Strong communication skills with the ability to challenge senior stakeholders and present risk issues concisely.
• Familiarity with risk systems (e.g. Sophis, Bloomberg or in-house platforms) and corresponding data flows. Programming skills (Python, VBA, SQL and PowerBI) highly advantageous.

Marex is fully committed to being an inclusive employer and providing an inclusive and accessible recruitment process for all. We will provide reasonable adjustments to remove any disadvantage to you being considered for this role. We value the differences that a diverse workforce brings to the company. We welcome applications from candidates returning to the workforce. Also, Marex is committed to avoiding circumstances in which the appearance or possibility of conflicts of interest may exist within the hiring process.

If you would like to receive any information in a different way or would like us to do anything differently to help you, please include it in your application.

Overview

Operating as a highly experienced analyst, you will be a key resource in a team of analysts responsible for owning, generating and delivering relevant, accurate and valuable business insights to internal and external customers.

With the ability to demonstrate simple to complex analytical techniques using industry standard tools, your role will be to help the business make timely and better-informed decisions. You will develop & coach the data analysts in technical capabilities, in partnership with the team manager, ensuring that the team develops in line with business change and technology developments.

The Analytics team support evidence-based decision making across PRS for Music, as well as helping our members understand trends and factors that influence the use of their works. We develop key reporting, working to utilise the latest technology to enhance our analytical capabilities.

In the role, you’ll be able to draw on a knowledgeable team, working with your colleagues to solve problems in an environment where it’s ok to experiment and bring new ideas to the table in the interest of finding new solutions and raising the standard across the team.

Responsibilities

• Assisting with the management of the pipeline of analytics work, in partnership with the team manager / Head of Data Services Delivery / product owners and ensuring the team is following delivery and development frameworks to assist with ad hoc and product-based delivery.
• Translate complex data into clear narratives and recommendations for relevant business areas & senior management as appropriate.
• Contribute to the creation of an enterprise-wide approach to delivering self-serve analytics in the PRS organisation through best practice (tools, methods, & data governance).
• Coaching and mentoring team members on advanced analytics techniques, such as supervised machine learning models, predictive models, segmentation strategies and scenario simulations to support strategic decision-making.
• Actively collaborating with the wider Data Services team and business stakeholders to explore new business opportunities where advanced analytics methodologies can be implemented.
• Stay up to date with emerging trends in AI, machine learning and data science, and contribute to the application of these to the PRS business model.

About you

• Proven experience and track record of Senior/ Lead Data Analysis with responsibility for technical delivery.
• Ability to coach and mentor data analysts in technical and non-technical skills.
• Proficient in using SQL to query, extract, and analyse large and complex datasets from relational databases.
• Competency in using coding languages such as Python and experience in advanced analytical techniques such as classification, regression and clustering.
• High proficiency in data visualisation using Microsoft Power BI and DAX (or similar BI tool).
• Strong stakeholder management skills, with the ability to communicate data visually, communicating results in a clear and understandable manner to non-technical disciplines.
• Strategic thinker, with the ability to recognise the relationship between your own work and the objectives of the team and wider business.
• Self-motivated, with exceptional verbal and written communication skills.

Desired Skills/Experience

• Experience of Generative AI in analytics / coding
• Experience of working in Agile / Product based delivery models
• Experience in Jira / Confluence

Having knowledge of PRS, Performance Rights Organisations, and/or the music industry would enhance a candidate’s application.

£150,000-250,000 GBP

Formulaic Bonus

Onsite WORKING

Location: Central London, Greater London - United Kingdom Type: Permanent

Quantitative Portfolio Manager - London

Anson McCade have partnered with an established Multi-Strategy Hedge Fund which is seeking Portfolio Managers to set up new trading teams or trade their own strategies independently. This firm has an extensive profitable track record, outperforming their peers, and is looking to continue this by setting up pods where Quant PMs will earn a % payout of their PnL.

In this role, you will be responsible for the full research and trading pipeline of your own systematic strategies, covering intraday or mid frequency time horizons (Minutes-a week), across US equities, global futures, or single stock options/vol markets. In addition to managing your own strategies, you will be able to build a team and utilise the expertise of the top C++/Python Developers at the firm.

The Role:

• Research, development and trading of intraday or mid frequency cash equities, futures or options strategies.
• Developing and optimising infrastructure and tools on an ad hoc basis.
• Hiring and leading junior members of the team and leveraging the support of the CIO to improve performance and deal with challenges.

Requirements:

• At least 5 years of experience in front office quant research in equities/ futures markets.
• Proficiency in Python is required, C++ experience is desired, skills in R, Matlab, and SQL are also a plus.
• A Bachelor’s and Master’s degree from a top University, PhDs are preferred but not required.

Energy Analyst page is loaded Energy Analystlocations: London York Roadposted on: Posted Todayjob requisition id: R201954, United Kingdom Job Family Group: Trading Jobs Worker Type: Regular Posting Start Date: April 21, 2026 Business Unit: Experience Level: Experienced Professionals Job Description: What's the role Shell Energy Europe & Environmental Products is seeking a Data Scientist to work within the Market Analysis team to develop and improve our forecasting models.Accurate forecasting of market fundamentals is critical to improved decision making on the trading desk. The analysis team develop and run a wide range of forecasts, using different methods such as machine learning, optimisation. What you'll be doing Shell Energy Europe is looking to hire a data scientist to support the Power Fundamentals team in building and productionising time series forecasting and optimisation models (stochastic optimisation, dynamic programming, LP/MILP models, etc). This person will have an enthusiasm to learn the inner working of the power market by working in close collaboration with domain experts. They must be able to understand the fundamentals of the power market and translate this into a mathematical model. This requires taking a pragmatic approach to model development, starting with a simple model, and iteratively adding complexity - driven by adding business value in a high-pace environment. This person must be a strong programmer, who is confident in productionising models in the cloud (Azure/AWS) and is comfortable in designing and implementing data ingestion and model deployment pipelines.Responsibilities: Prepare, process, clean and visualize various kind of power, gas, and weather data sets to establish a basis of further analysis. Develop, analyse, and conduct different approaches to forecasts different variables (Demand, wind, solar, prices). Statistical evaluation and validation of different types of forecasts. Build the framework to deploy models in production that will be use every day for trading decisions. Share this framework with the rest of the team to increase the performance of the rest of the team developments. Participate to the conception and development of a computational environment which enable scalability and high computational power. Develop in house optimisation models (stack models, dispatch models). Bring new ideas of models to improve the desk P&L. Delegate and lead some models and infrastructures projects done by teams of high technical people in IT and modelling. What we need from you Your technical skills and experience: Have a graduate qualification in an analytical or science-based discipline e.g., engineering/maths/computer science and ideally a PhD in machine learning, optimisation or equivalent End-to-end experience with data, including querying, aggregation, analysis, and visualization Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn). Strong SQL skills for data retrieval, basic analysis, and data cleansing. Strong knowledge and application of object-oriented design and software best practices in Python Familiarity of cloud architecture, with a focus in deploying and hosting applications in a cloud environment. Self-starter who is commercially aware and value focused. Able to work with minimal supervision and guidance. Good communication skills to present new developments and facilitate acceptation by the team and the traders.Ideally you would be proficient in a good selection of the following: Algorithmic complexity theory. Parallelism & Concurrency. Experience with messaging and or data streaming technologies such as Kafka, ActiveMQ, Azure Service Bus, and Azure Event Hubs. Experience in containerising models and deploying in Kubernetes. Have experience implementing algorithms and data-structures. Have a good knowledge of linear algebra, calculus, and discrete mathematics.After you submit your application, you will receive an email from Shell providing a link to an online assessment (HireVue) that is a mandatory part of the process and has a validity period - please check your spam/junk mailbox if you do not see the email. Once completed, your application will be reviewed to determine next steps. Thank you for your interest in Shell. What we offer You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You'll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You'll be able to balance your priorities as you become the best version of yourself. Progress as a person as we work on the energy transition together. Continuously grow the transferable skills you need to get ahead. Work at the forefront of technology, trends, and practices. Collaborate with experienced colleagues with unique expertise. Achieve your balance in a values-led culture that encourages you to be the best version of yourself. Benefit from a range of flexible working options. Perform at your best with a competitive starting salary and annual performance related salary increase - our pay and benefits packages are considered to be among the best in the world. Take advantage of paid parental leave, including for non-birthing parents. Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply. Grow as you progress through diverse career opportunities in national and international teams. Gain access to a wide range of training and development programmes.We are committed to attracting a broader and more diverse pool of candidates. If this position doesn't feel like the perfect fit for your qualifications right now, we'd still love to hear from you.Shell is working to advance an inclusive, psychologically safe and accessible environment where people with disabilities can excel. If you require any accommodations or accessibility adjustments (e.g. assistive technology, communication support, or other) during the application or interview process, please let us know when prompted in your application. We strive to ensure that our process and workplace is accessible to everyone and are dedicated to making reasonable adjustments to support your needs. Shell in The United Kingdom Shell UK remains one of the North Sea's biggest producers, supplying around 10% of the UK's total oil and gas needs. But perhaps the most recognisable face of Shell in the UK is our network of over 1,000 Shell-branded service stations.In the years ahead, as the UK looks to strengthen energy security and deliver its 2050 net-zero goal, Shell UK aims to play a crucial role. We aim to be a major investor in the UK energy system by helping our customers decarbonise with a focus on transport and industry.- DISCLAIMER: Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.You can be a part of the future of energy.

The MSCI Index Coverage team is responsible for the growth, adoption, and commercial advancement of MSCI indexes and solutions across all segments in EMEA. Within our Index Coverage team, Asset Manager and ETF specialists position MSCI indexes, data and technology solutions to support clients across a wide variety of use cases, including benchmarking, risk and performance, services that enable scale, and to serve as the basis for financial products such as index-linked ETFs.

The team is client-focused, connecting with all parts of the trading ecosystem, including the buy-side, sell-side, market makers, and asset owners such as pension plans and wealth managers. The MSCI Index Coverage team is constantly engaged with MSCI’s senior leadership team and global colleagues to drive development, education and adoption of indexes and tools for use in the investment management process.

This is an opportunity to work alongside the well-established MSCI Index Coverage Team to extend index data, tools and services within one of the fastest growing corners of the market - Active ETFs.

Responsibilities

• The Active ETF Specialist EMEA will report to the EMEA Head of Indexed Investments & Solutions and be responsible for engaging with Asset Managers, primarily in the UK and continental Europe, with the goal of supporting their growth and financial product development of index-linked products (e.g., for Active ETFs).
• Be entrepreneurial in efforts to establish and build upon client relationships, especially key investment personnel and product-related decision makers.
• Develop in-depth understanding of clients’ strategic product initiatives, as well as efficiency and cost-focused priorities for scale and asset growth, to develop and position innovative new product ideas and workflows.
• Build client specific and business specific plans and strategies in tandem with the regional Index Products team, which includes the development of internal and external pitch book material and collateral.
• Coordinate efforts and initiatives by collaborating with existing specialists, senior account managers, product, research, marketing and other teams.
• Support management with business reporting and strategy/operating plan development.

Qualifications

• The successful candidate will have a minimum 10 years of experience within the Active Asset Management industry, with an emphasis on roles including product strategy, development and execution, client portfolio management and/or business development for financial products (e.g., publicly available ETFs or mutual funds).
• Deep understanding of active portfolio construction - including investment frameworks, decision-making processes, and alpha generation methodologies along with quantitative bottom up and top-down techniques.
• A thorough sense of the competition, market structure and regulatory landscape, inclusive of trends and how those may shape future product needs.
• Knowledge of key players and client segments throughout the ecosystem, including asset owners, wealth managers, liquidity providers, and traditional as well as digital distribution platforms.
• Strong track record of innovation, collaboration and communication, preferably with global cross-functional teams such as research, client coverage, product, marketing and technology.
• Ability to integrate and apply the full MSCI toolkit - leveraging analytics, data, research, and technology - to support clients across the entire alpha delivery lifecycle.
• Proven analytical skills and a solutions mindset.
• Experience of integrating climate considerations into investment strategies is considered a plus.
• Impeccable attention to detail, excellent organizational skills and an ability to run multiple initiatives and projects simultaneously in a fast-paced environment.
• Ideally knowledge of Python, Vba and SQL but not a prerequisite.
• Proficiency in AI tools such as ChatGPT and Claude.

Benefits

• Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
• Flexible working arrangements, advanced technology, and collaborative workspaces.
• A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
• A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
• Global Orientation program to kickstart your journey, followed by access to our platform, AI Learning Center, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
• Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
• We actively nurture an environment that builds a sense of inclusion, belonging and connection, including eight Employee Resource Groups: All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

We exist to make migration easy.

Every year, millions of people move to a new country and find themselves cut off from essential financial services. We built our own technology to change that, insuring millions of drivers and lending millions in loans. But we’re not standing still.

Our ambitions are huge, and we need exceptional people to supercharge our growth and shape what comes next.

Marshmallow is a place for do-ers. People who are tenacious, hungry for ownership, and unfazed by complexity. But collective success always comes first - people here win and grow together.

Pricing at Marshmallow

Pricing at Marshmallow is where the mission gets real - delivering unbeatable prices that make migration easy. You’ll work with vast, proprietary data, cutting-edge models, and engineers who can implement your ideas fast. Ownership isn’t a buzzword here - you’ll have the autonomy to make decisions and the senior backing to act on them. This is a team that moves fast, challenges assumptions, and delivers change at high frequency.

What you’ll be doing

• Develop a deep understanding of Marshmallow’s quote, policy, and claims data to derive insights that enhance pricing strategies.
• Contribute to key pricing initiatives, including expansion plans and customer retention efforts.
• Communicate analytical findings effectively to senior leaders and cross-functional teams.
• Conduct data analysis using SQL and Python to drive decision-making.
• Support the deployment of models in APIs for real-time pricing applications.
• Collaborate with pricing team members to recommend changes and track their impact.
• Assess new external data sources to refine claims risk evaluation and quantify their value.
• Monitoring the performance of our business and contributing to our governance and control processes such as reviewing business mix and segmental loss ratio performance.
• Work closely with Engineering and ML Engineering teams to implement pricing strategies.

Who are you?

• Proactive: You want to drive growth by identifying new opportunities and take ownership to drive change
• Technical: You aren’t afraid to learn new skills across Data Science & Insurance
• Commercial: You want to deliver real world impact, not report on it
• Curious: You aren’t satisfied with ‘That’s just how it is’; you immediately investigate further
• Opinionated: You generate your own opinions & pitch to others in an open & honest way
• Explainer: You can communicate complicated concepts in a simple way to non-experts

What skills are we looking for from you?

• Ability to interrogate data and conduct pricing analysis within SQL & Python
• Ability to build GLMs, GBMs and other models within Python
• Prior experience in a data science role or STEM degree

Our Process

We break it up into 3 stages:

• Initial screening call with a member of the TA team (30 mins)
• Past experience interview with our VP Insurance(60 minutes)
• A technical interview (90 mins)
• A culture interview with a senior stakeholder to check that your work style fits our processes and values, and vice versa (60 mins)

Perks of the job

• Hybrid working - Spend 2-3 days with the team in our collaborative London office, and own your own working hours. The rest is up to you.
• Competitive bonus scheme - designed to reward and recognise high performance.
• Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Whether that’s subscriptions, night classes, the big shop or a forest of houseplants. Pretty much anything goes.
• Mental wellbeing support - Access therapy and mental health sessions through Oliva.
• Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us! - to further your skillset.
• Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches.
• Medical cash plan - To help you with the costs of dental, optical and physio (plus more!)
• Tech scheme - Get the latest tech for less.

Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month!

Background checks

As part of our commitment to maintaining a safe and trustworthy environment, we’ll carry out standard background checks, including a DBS and Cifas check. These help ensure there are no ongoing criminal proceedings and support the prevention of fraud and other forms of serious misconduct. If anything of concern is identified, it may affect your eligibility for certain roles or services. Feel free to ask our Talent Acquisition team if you have any questions about this!

Everyone belongs at Marshmallow

At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we’re committed to hiring without judgement, prejudice or bias.

We encourage everyone to apply for our open roles. Gender identity, race, ethnicity, sexual orientation, age or background does not affect how we process job applications.

We’re working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.

Portfolio Pricing Lead (Portfolio Management)

Location: Primarily remote with occasional travel. Offices located in Kent, Cambridshire, Manchester, London and Stoke-on-Trent.

Role Overview

We are seeking an experienced Portfolio Pricing Lead to play a pivotal role in our growing Portfolio Management function within the dynamic world of personal lines underwriting. This role is suited to a highly capable senior analyst or pricing lead who is already operating with significant autonomy, strategic influence, and technical depth.

You will own and steer critical elements of portfolio performance, pricing strategy, and risk modelling, shaping how we optimise profitability and growth across our product suite. Acting as a subject matter expert, you will lead sophisticated analytical initiatives, drive pricing interventions, and influence decision making across senior stakeholders.

In addition to overseeing key analytical deliverables, you will actively guide and develop analysts, champion best practice pricing methodologies, and contribute to the evolution of our pricing capability and operating model.

The Pricing Portfolio Management team is responsible for innovating modelling approaches, refreshing and enhancing price optimisation methodologies, and ensuring our pricing infrastructure remains competitive, particularly within aggregator driven markets.

Key Responsibilities

• Lead the design, enhancement, and implementation of portfolio performance monitoring frameworks across product lines, ensuring clarity of insight and proactive issue identification.
• Drive pricing strategy and tactical interventions, partnering closely with the Pricing Manager and wider leadership to optimise commercial outcomes.
• Provide senior level analytical oversight, ensuring pricing recommendations are robust, commercially aligned, and supportive of long term profitability goals.
• Collaborate strategically with Underwriting, Technical Modelling, and Data teams to refine product design, calibrate technical models, and strengthen risk cost feedback loops.
• Act as the analytical voice across the business, managing senior stakeholder relationships and confidently communicating complex insights and pricing impacts.
• Coach, support, and develop junior analysts, fostering a high performing, innovative, and curious team culture.
• Shape and influence the Pricing roadmap, contributing to long term strategic planning, capability development, and continuous improvement initiatives.

Key Skills and Experience

• Extensive experience in Personal Lines Pricing, with evidence of leading projects, influencing senior stakeholders, and owning complex analytical deliverables.
• Strong proficiency in predictive modelling techniques, including Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Networks, and Clustering.
• Advanced skills in R, Python, PySpark, SAS, or SQL.
• Proven ability to convert complex performance data into clear, commercially actionable recommendations.
• Experience with WTW Radar and Emblem is essential.
• Exceptional communication skills, capable of simplifying complexity and shaping decisions at all levels.
• A strong quantitative academic background in Mathematics, Statistics, Engineering, Physics, Computer Science, or Actuarial Science.

Behaviours

• Highly self motivated, with a strong commitment to developing and mentoring others.
• Logical, structured thinker with a proactive and positive approach to problem solving.
• Passionate about innovation, continuous improvement, and challenging established ways of working.

Overview

We’reKingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama andKoctasto life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation.

Key Accountabilities / Responsibilities:

• Develop machine learning models and support their deployment into production
• Write production quality code that is robust, efficient and maintainable
• Contribute to the implementation and improvement of pipelines, tooling and automation
• Apply good engineering standards and practices in model development
• Monitor performance and contribute to ongoing optimisation of models
• Work with colleagues to understand requirements and priorities
• Share knowledge, contribute ideas and support a collaborative team culture

Qualifications:

• Good understanding of computer science fundamentals, including data structures, algorithms and software design
• Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning
• Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter
• Experience working with SQL and data pipelines to prepare and transform data for model training
• Understanding of model evaluation, monitoring and improving performance in a production environment
• Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation
• Comfortable working with statistical concepts to interpret data and assess model performance
• Ability to work collaboratively, communicate clearly and deliver work to agreed outcome

How We Work

We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team-40% of your time involving in-person collaboration.

We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements.

What We Offer

An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisherhere

We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits.

Diversity & Inclusion

Our customers come from all walks of life- and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation.

Private Health Care

Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (This benefit is subject to Benefit In Kind taxation).

Kingfisher Pension Scheme

Immediate eligibility through auto-enrolment. Contribute 8% to receive a max 14% from the Company.

25 Days’ Holiday

25 days per annum plus bank holidays as stated in your contract (pro rated for part time colleagues).

Staff Discount

20% discount at B&Q and Screwfix. Eligible after 3 months service.

Kingfisher Share Incentive Plan (SIP)

Share ownership in a tax efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached.

Life Assurance

x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS-MP) or x1 Salary if not active member.

Bonus

Competitive bonus scheme that aligns to work level of role.

Kingfisher Share Save

Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October.

Our Behaviours

At Kingfisher, we are united by our 6 core behaviours

Constantly improving our customer experience

Acting with humanity and care

Be curious

Thriving on learning, thinking beyond the obvious

Be inclusive

Acting inclusively in diverse teams to achieve together

Be agile

Working with trust, pace and agility

Be accountable

Championing the plan to deliver results and growth

Training & Development

There are so many ways you can grow, learn, and develop here at Kingfisher. At whatever pace suits you.

Conversations with senior leaders Resources and tools to help you grow

Improving without instruments to help you learn is near impossible. That’s why we make sure you have everything at your fingertips to find exactly what you need to keep growing.

Initiatives that measure development

With plans that ask you what you want to achieve and when you want to achieve them by, tracking progress and keeping development at the forefront of conversation is easy.

Find your path

The scale of group functions within Kingfisher is huge. That means you have the chance to build different career paths within multiple areas of the organisation.

Sharing is caring

We aren’t selfish here at Kingfisher. Whatever your level of experience, you’ll work with colleagues who are always welcoming and ready to share their knowledge whenever you need it.

Reach for the stars

So your ambitions are high? Good thing we have opportunities to find experiences in line with more senior roles and responsibilities. Here, you can evolve your career, no matter your level.

Why Kingfisher

We’re an innovative, international retailer on a journey to actively make a difference. Always striving to take that next step. You can be part of the difference. From bottom to top you can progress in a collaborative environment. So, why not Kingfisher?

Application Process What to expect from our application process Step 1: Application

Send in your application via our Kingfisher Careers website.

Step 2: Review

A member of the Talent Acquisition team will then review your application let you know if you have progressed to the next stage of the process.

Step 3: Interview 1

You’ll then have a telephone interview/one to one conversation with a recruiter.

Step 4: Interview 2

As you progress, you’ll be invited to attend a face to face or virtual interview.

Step 5: Feedback

Your recruiter will be in contact with feedback and, if successful, the details of your job offer!

We’re building out a trading initiative in London, with a growing focus on listed commodities options. This expansion is supported by a mix of internal talent and experienced external hires. With a collaborative and entrepreneurial culture, the team offers a unique opportunity to help shape and scale a new desk from an early stage.

The group combines deep expertise with broad trading experience and values innovation, ownership, and cross functional collaboration. As the desk continues to grow, there will be increasing opportunities to take on broader responsibilities and contribute meaningfully to its success.

Your Core Responsibilities:

• Own fundamental and news analysis, delivering morning market updates, weekly wraps, and previews of key upcoming catalysts for energy markets.
• Work directly with traders and quants to identify and capitalize on short term dislocations and longer term macro opportunities in energy markets.
• Develop and refine data driven models to forecast supply, demand, price, and volatility movements.
• Deliver real time market insights on geopolitical risks, inventory trends, refinery margins, and systematic flows.
• Work directly with traders and quant teams to translate fundamental views into actionable trading strategies.
• Build and maintain high quality datasets to enhance market understanding and improve decision making.
• Take ownership and initiative to drive research and trading strategy development.

Your Skills and Experience:

• Education in Economics, Finance, or a related Engineering field
• 3+ years of experience in energy markets and macro analysis, trading or research.
• Familiarity with options pricing models and volatility dynamics
• Strong understanding of physical and derivatives markets, including supply chains, refinery economics, and hedging flows.
• Entrepreneurial mindset with a passion for market structure, trading flows, and price discovery.
• Proficient in Python, R, or SQL for data analysis and model development.
• Ability to communicate complex insights clearly and concisely in a fast paced trading environment.

At IMC, we understand the importance of diversity, equity and inclusion, and are committed to continually improving this in our recruitment process.

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Senior Data Scientist at IBM, you will lead the design and delivery of AI solutions, advanced analytics and automation for clients across industries. You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM’s data science capability.

• Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
• Act as a trusted advisor to senior client stakeholders, translating business challenges into data-driven solutions and articulating the value of AI.
• Translate complex data into actionable insights and strategic recommendations.
• Collaborate with cross-functional teams including consultants, engineers, and client stakeholders.
• Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.

Lead business development through proposal writing, solutioning, and client presentations.

Mentor and coach junior data scientists and analysts.

• Lead business development through proposal writing, solutioning, and client presentations.

  Mentor and coach junior data scientists and analysts.

• Stay current with emerging technologies and methodologies in AI/ML and data science.

Required education

Bachelor’s Degree

Preferred education

Master’s Degree

Required technical and professional expertise

• Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments in a consulting or enterprise environment.Excellent communication and stakeholder management skills.
• Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.
• NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models.
• AI Solution Development: Experience in architecting and delivering AI solutions using cutting-edge technologies, including tools like Github Copilot and Amazon Code Whisperer.
• Cloud Platforms and Services: Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services, as well as experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).

As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds. However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship.

Preferred technical and professional experience

• Foundation in Specialized Areas: Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value.
• Proficiency in Modern UI Frameworks: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, allowing for seamless integration with AI solutions.
• Operating System Knowledge: Experience working with various operating systems, including Linux, Windows, iOS, and Android, facilitating smooth deployment of AI solutions across different environments.
• PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.

Job Title

Data Scientist - AI - Senior Managing Consultant

Job ID

90950

City / Township / Village

London

State / Province

London, City of

Country

United Kingdom

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Regular

Position type

Professional

Some travel may be required based on business demand

Company

(8660) IBM United Kingdom Limited

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

Location: UK - London Job-ID: 218099 Contract type: Standard Business Unit: IT Consulting

What you’ll do

We are seeking a highly skilled and motivated Data and AI Technical Architect to join our Data & AI Consultancy Practice within Computacenter. In this role, you will work with a range of enterprise customers to lead both pre- and post-sales engagements in complex design, consulting and deployment projects, working individually and within a team of highly skilled architects, consultants, and project managers.

Reporting directly to the Practice Leader, you will join a strong and growing team. Due to continued pipeline growth, we are looking to expand with additional talented individuals.

This position requires the ability to work as part of a team, but also as an individual contributor. You will work in both pre- and post-sales consulting environments, developing strong relationships with clients and coordinating multiple client activities at the same time.

This role will be mainly based from our London office, with UK-wide travel expected for meetings and project engagements.

This customer centric role involves working with our clients and partners to help architect and support implementation efforts of solutions to client use cases, defining solutions for the analysing of large datasets, and optimising performance of both new and incumbent technologies. You will work closely with our technical and sales teams to drive innovation and deliver cutting edge solutions that leverage the full potential of data technologies into our customer base.

• Form and work deep relationships with the Solution Sales community to ensure practice integration at presales stages, working directly with customers to understand requirements and offer ideal solutions.
• Consult and deliver on Design, implement, and optimise data architectures for a variety of applications.
• Collaborate with cross functional teams to integrate DR capabilities into our solutions and services, contributing to the overall strategy and service development.
• Stay abreast of the latest in the subject field area.
• Customer facing skills with the ability to propose solutions to improve efficiency and scalability.
• Excellent presentation and documentation skills
• Provide technical leadership and mentorship in areas of expertise, including guiding junior team members and participating in knowledge sharing activities.

What you’ll need

The ideal candidate will have a strong background in data technologies, with a particular focus on Data Protection and Business Continuity.

Required Skills

• 5+ years of experience in technical consulting, specifically in Data technologies.
• Strong client facing, communication and interpersonal skills, capable of conveying complex technical concepts to non-technical stakeholders.
• Proven Pre Sales and delivery experience in the area of enterprise data and AI technologies.
• Data Governance, Data Health & Data Hygiene.
• Strong theoretical and practical knowledge of Data Protection solutions including Cohesity, Rubrik, Commvault, Veeam and more.
• Detailed knowledge of DSPM products, such as Varonis, Cyera, Securitii.ai.
• Understanding of Modern Data Platforms.
• Edge, Datacenter, and cloud architectural knowledge relating to Data and AI use cases.
• Excellent problem solving skills, with the ability to work independently and in a team environment.
• Data Lake/Lakehouse :

Data Lake/Lakehouse

• Starburst

• Snowflake

• Databricks

• Nvidia OEM partner knowledge and awareness

• Intel / AMD knowledge and awareness

Accreditations

Must be security clearable to a high level.

Technical certifications on any of the following vendors would be beneficial

• Modern Data Platforms: Snowflake; DataBricks; Starburst; Microsoft Fabric
• RDBMS: Microsoft SQL Server; Oracle
• DSPM: Varonis; Cyera
• Datacenter: Nvidia; Dell; HP; IBM
• Storage: NetApp; Pure; Vast; Weka

As an equal opportunities employer, we’re committed to ensuring fair and equal access to opportunities for all. Your application will be considered on its merits, regardless of your age, disability, ethnicity, gender identity, or any other characteristics protected by law. What matters most to us is that you share our vision and values, and bring the experience and skills we’re looking for.

We are proud to be a Disability Confident Employer. We welcome applications from disabled people and accept applications in alternative formats. We also guarantee to interview applicants who have a disability.

Opportunity

This is your chance to build the foundational systems for ‘Citi Assist’, a Generative AI assistant that will reach every Citi employee globally. You’ll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale.

Here’s what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn’t just the model-it’s the testing, evaluation, and feedback loops that make it better every day.

As a data-focused full-stack engineer, you’ll help us craft the tools and systems that let us understand how Assist is performing, where it’s succeeding, and where it needs to improve. You’ll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale.

What you’ll do

Build the tools that make Assist great. You’ll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality.

Work with data across the full stack. You’ll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You’ll be equally comfortable writing SQL queries as you are building React components.

Own your features end to end. You’ll take responsibility from conception to production. That means understanding the problem we’re trying to solve, designing the right solution, building it, and measuring whether it’s working. You’ll drive your work forward with autonomy while keeping the team aligned.

Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non-negotiable. You’ll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance.

Set the technical direction. As a VP-level engineer, we expect you to influence how we approach problems. You’ll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform.

Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together.

Skills & experience

• Strong experience building and deploying production applications across the full stack
• Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus)
• Deep experience working with data-whether that’s building data pipelines, designing analytics systems, or creating data-driven products
• Experience building user-facing features with modern frontend frameworks like React, Vue, or Angular
• Strong SQL skills and experience with relational databases like Postgres
• Experience building backend services and APIs that handle data at scale
• Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes)
• Strong understanding of CI/CD pipelines, testing frameworks, and automation
• Experience with data visualisation tools and techniques

What matters most to us

A data-driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights.

A solutions-first approach. You find the best path to solve the problem, whether that’s building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You’re pragmatic about trade-offs.

Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you’re also open to being wrong and learning from your peers.

A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly.

Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don’t wait for permission, but you keep stakeholders informed.

A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge-sharing as part of your role.

Bonus points for

• Direct experience building evaluation or testing frameworks for AI/ML systems
• Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts
• Experience with data pipeline tools like Apache Airflow, Dagster, or similar
• Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure
• Background in data science, analytics engineering, or similar data-focused roles
• Contributions to open-source projects in the data or AI space
• Experience working in highly regulated environments

Our tech stack

We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness.

Our team and mission

We’re the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We’re a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We’re on a journey to prove what’s possible inside a large organisation, and that means navigating some legacy while building the future. This isn’t a role for someone who wants everything to be perfect on day one. It’s for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar.

We have a dual mission. First, we’re building ‘Citi Assist’, the GenAI digital assistant for our colleagues. Second, we’re providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively.

This is not a typical banking job. You’ll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You’ll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you’ll join a passionate, collaborative team where we all learn from each other and push each other to do our best work.

What we’ll provide you

This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• A discretionary annual performance-related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends

Visit our Global Benefits page to learn more.

Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.

Equal employment opportunity

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Citi’s Markets technology team is growing at lightning speed, and we’re looking for talented technologists to help build the future of global banking. Our teams are creating innovations used across the globe. As the world’s most global bank, Citi provides an opportunity to touch every corner of the globe and deal with incomparable trade volumes, scale and impact. We’re looking for new, innovative ways to push the boundaries of financial technology. Citi’s global technology team spans 84 countries, with almost 30,000 colleagues managing thousands of projects across the globe. Our team is young but rapidly growing. Join an environment with a laser focus on growth and progress and take your career to the next level through the power of Citi’s unmatched globality and vast expertise.

We are currently building FX Risk valuation platform for Citi. There is a set of old and new platforms that serve the Client’s FX business in multiple countries by providing the ability for real time derivatives pricing, risk management and data analytics. Our platform is starting to replace a set of the existing risk applications with new generation ones with web based UI, server side computing and grid technology, distributed in memory solutions. The new application is going to serve traders, sales and external clients. The solution is scalable to cover multiple locations and meet latency requirements. The team is growing fast and now we are looking for a strong and motivated FX Risk Lead Java Developer.

Key Responsibilities

• Design, develop, and maintain Java based microservices for high throughput application
• Integrate and optimize Apache Ignite based solution: in memory data grid for FX trades processing
• Implement real time data ingestion and processing pipelines using Apache Kafka / Solace messaging
• Design and maintain robust Mongo DB / Oracle data models and queries for data persistence
• Ensure application scalability and reliability in cloud hosted Linux based environment
• Collaborate with DevOps to containerize services and deploy using CI/CD pipelines
• Conduct performance tuning, code reviews, and troubleshooting production issues
• Document system architecture, design decisions, and development processes

What we want from you

• Strong hands on experience with Core Java and multithreading in high load system
• Practice with JVM performance optimization and memory profiling
• Familiarity with distributed systems architecture and in memory computing concepts
• Proven experience with in memory caching solution Apache Ignite in production environment
• Solid experience with MongoDB (CRUD, indexing, performance tuning)
• Deep SQL knowledge and query optimization in Oracle database
• Solid understanding of messaging technologies Apache Kafka / Solace
• Proficiency in working with Linux environment and scripting
• Experience deploying and maintaining applications in cloud platforms (AWS, Azure, etc.)
• Passion to write code using TDD and be ready for L3 support and production release activities
• English B1

Qualifications

• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work independently, multi task, and take ownership of various parts of a project or initiative

Nice to Have

• Understanding business processes of investment banking area
• Knowledge of FX Risk valuation and pricing procedures
• Experience with FX trade processing

Education

• Bachelor’s degree/University degree or equivalent experience

What we’ll provide you

This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (annually reviewed), and enjoy a whole host of additional benefits such as:

• 27 days annual leave (plus bank holidays)
• Discretionary annual performance related bonus
• Private Medical Care & Life Insurance
• Employee Assistance Program
• Pension Plan
• Paid Parental Leave
• Special discounts for employees, family, and friends

Visit our Global Benefits page to learn more.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review, please contact us. Please view Citi’s EEO Policy Statement and the Know Your Rights poster.

Senior ETRM Application Developer page is loaded Senior ETRM Application Developerlocations: London, UKtime type: Full timeposted on: Posted Todayjob requisition id: R1285Castleton Commodities International (CCI) is hiring a Senior ETRM Application Developer to expand our Commodities Trading Application Development team. This role sits at the center of our end-to-end trading lifecycle and is responsible for building and enhancing the applications and integrations that support front-to-back commodities trading, from exchange connectivity and trade capture through Confirmations, Scheduling, P&L, Risk, & Settlements. You will work across a distributed application landscape and partner closely with Trading, Risk, Operations, and Technology teams to deliver scalable solutions with strong data quality, resiliency, observability, and control. The ideal candidate is a hands-on engineer who can design clean interfaces, modernize integrations, and drive best practices across development and release processes. Responsibilities: Design, develop, and support applications and services across the end-to-end commodities trade lifecycle. Build and enhance integrations between ETRM platforms and systems utilizing Java & Oracle. Develop and maintain robust data pipelines including mapping, transformations, validations, and exception handling to ensure accuracy and completeness. Partner with Trading, Risk, Scheduling, Settlements, and Accounting stakeholders to translate requirements into technical designs and deliverables. Own production support for assigned systems, including incident response, root cause analysis, and implementation of permanent fixes. Improve operational resiliency through monitoring, alerting, automated controls, reconciliation routines, and reprocessing capabilities. Contribute to architecture and design decisions with a focus on performance, maintainability, testability, and security. Participate in code reviews and mentor engineers by promoting strong engineering standards and reusable design patterns. Drive modern SDLC practices including version control discipline, automated testing, CI/CD, and release management. Coordinate and lead work delivered by offshore development teams, including planning, task delegation, and quality oversight. Qualifications: Bachelor's Degree in any relevant discipline such as Mathematics, Computer Science, or Engineering. 10+ years of experience successfully delivering ETRM development and support in a commodity trading company. Experience working with a US based management team and global development team with offshore development. Proven ability to directly interface with business users on the entire SDLC. Significant experience in Triple Point (TPT) CommodityXL (CXL) or similar full scale ETRM system. Experience in interfacing with commodity exchanges (ICE, CME, NYMEX). Working knowledge in cloud platforms such as AWS and Azure. Ability to work effectively in a fast-paced, dynamic and high-intensity environment including an open-floor plan, with timely responsiveness and the ability to work beyond normal business hours when required. Technical Skills: Python Kafka Java (J2EE) JavaScript Spring Framework SQL (AWS Redshift, Oracle, Sybase and DB2), Oracle PL/SQL Rest API Angular or React Scripting (Windows, Linux) IBM MQ, TIBCO, JMS Employee Programs & Benefits: CCI offers competitive benefits and programs to support our employees, their families and local communities. These include: Competitive comprehensive medical, dental, retirement and life insurance benefits Employee assistance & wellness programs Parental and family leave policies CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities. Charitable contribution match program Tuition assistance & reimbursement Quarterly Innovation & Collaboration Awards Employee discount program, including access to fitness facilities Competitive paid time off Continued learning opportunitiesVisit to learn more!Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. This fully integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Join us as a Vice President Financial Crime Transaction Monitoring ™ Control Owner, where you will shape the future of Banking at Barclays. This is a high impact role at the intersection of financial crime risk, automated detection, and advanced model development. You’ll be responsible for ensuring robust TM controls across multiple business lines, driving the evolution of automated monitoring capabilities, and overseeing model performance, data quality, and optimisation.

To be successful as a Vice President Financial Crime TM Control Owner, you should have:

• Proven expertise in automated Transaction Monitoring systems, including model development, optimisation, and ongoing performance management.
• Advanced analytical capabilities with experience resolving model related data integrity and data quality issues. related data integrity and data quality issues.
• In-depth knowledge of Transaction Monitoring frameworks, including the ability to provide effective oversight and ensure alignment with regulatory expectations.
• Exceptional stakeholder management skills, with the ability to influence and collaborate effectively at senior levels.

Some other highly valued skills may include:

• Coding proficiency (e.g., Python, SQL).
• Project management experience in financial crime or risk domains.
• Familiarity with machine learning or AI tools in TM or fraud detection.
• Recognized financial crime qualifications (e.g., ICA, ACAMS).

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in London.

Purpose of the role

To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems.

Accountabilities

• Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds.
• Performing data cleaning and pre-processing tasks to ensure data quality and suitability for model development.
• Design and implementation of data management strategies for model maintenance and future development.
• Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation.
• Monitoring model performance in real-time and identify any potential issues or biases.
• Leading training, mentoring, and knowledge-sharing sessions to uplift ML capability across the organisation.
• Evaluating and piloting emerging technologies, tools, and frameworks to ensure the organisation remains at the forefront of AI innovation.

Vice President Expectations

• To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and
• If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others
• OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
• Adopt and include the outcomes of extensive research in problem solving processes.
• Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Introduction

At Gallagher Re, we bring clarity to complexity by helping clients around the world make confident, data driven decisions in a rapidly evolving risk landscape. Here, you’ll be part of a team that leverages world class analytics and deep reinsurance expertise to deliver strategic advisory services and transactional excellence. Together, we transform advanced insights and market intelligence into strategies that protect businesses, drive performance, and shape the future of reinsurance. We’re a community of decision makers, future shapers, and trusted experts working side by side to deliver meaningful impact through innovative thinking and practical solutions. At Gallagher Re, your curiosity is welcomed, your growth is championed, and your work truly matters. This is a place where you’ll have the freedom to explore new ideas, take ownership of your career, and collaborate with people who are as driven and inquisitive as you are.

Overview

Join Gallagher Re’s Property Research team as a senior catastrophe risk expert.

We’re looking for someone passionate about natural hazards, risk management, and innovative solutions. You’ll work with brokers, clients, and industry partners to improve how we understand and manage property risks worldwide.

How you’ll make an impact

• Be a trusted advisor to clients, explaining complex catastrophe models and risk insights.
• Lead research and evaluation of catastrophe models, ensuring they meet the highest standards.
• Develop new tools and solutions to help clients manage risk.
• Stay updated on the latest scientific research, including climate change.
• Manage multiple projects, often with tight deadlines, and deliver exceptional results.
• Collaborate with global teams, academic partners, and industry experts.
• Share your expertise at conferences and guide junior team members to grow their skills.

About You

• You have a PhD in Hydrology, Climatology, Engineering, or a related field.
• You’re skilled in programming (R, Python, SQL) and working with spatial datasets.
• You’re a clear communicator, both in writing and speaking.
• You’re detail oriented, analytical, and a team player.
• You understand catastrophe models, risk management, and the (re)insurance industry.
• You have 4+ years of experience in insurance/reinsurance, ideally in catastrophe modelling.
• You are eligible to work in the UK.

Compensation and benefits

On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.

Minimum core benefits you’ll get, depending on your job level these benefits may improve:

• Minimum of 25 days holiday, plus bank holidays, and the option to ‘buy’ extra days
• Defined contribution pension scheme, which Gallagher will also contribute to
• Life insurance, which will pay 4x your basic annual salary, which you can top up to 10x
• Income protection, we’ll cover up to 50% of your annual income, with options to top up
• Health cash plan or Private medical insurance

Other benefits include:

• Three fully paid volunteering days per year
• Employee Stock Purchase plan, offering company shares at a discount
• Share incentive plan, HMRC approved, tax effective, stock purchase plan
• Critical illness cover
• Discounted gym membership, with over 3,000 gyms nationally
• Season ticket loan
• Access to a discounted voucher portal to save money on your weekly shop or next big purchase
• Emergency back up family care
• and many more

We value inclusion and diversity

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long term health conditions or disabilities.

We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Don’t worry, we’re here to help, however, we can only do this if you let us know.

Should you require reasonable adjustments to your application, please let us know by emailing or by phone by requesting a callback and leaving details so we can get in touch.

Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, colour, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

About Allica Bank

Allica is the UK’s fastest growing company - and the fastest-growing financial technology (Fintech) firm ever. Our purpose is to help established SMEs, one of the last major underserved opportunities in Fintech.

Established SMEs are the backbone of local communities - representing over a third of our economy - yet have been largely neglected both by traditional high street banks and modern fintech providers.

Department Description

Growth is a critical function at Allica where marketing, product, sales, and data converge to drive sustainable, scalable growth.

We design and optimise growth loops across acquisition, activation, and engagement, using structured frameworks to ensure our efforts are repeatable, measurable, and aligned to business impact.

By combining commercial strategy with deep customer insight, we uncover opportunities through experimentation, data, and creativity. Growth at Allica is both a science and an art, every touchpoint we build supports our mission to deliver the banking experience established SMEs truly deserve.

Role Description

The Performance Marketing Manager at Allica Bank is responsible for scaling customer growth across our Business Bank Account and Lending products while maintaining an efficient CAC:LTV.

This role combines strategic thinking with hands on execution. Working closely with the team, you’ll bring strong analytical rigor, marketing instinct, and a bias for action, using data, automation, and AI to drive performance at scale.

Principal Accountabilities Performance Marketing Execution & Strategy

• Lead hands on campaign execution and strategy across Paid Social (with a focus on Meta Ads), Paid Search, PMax, and other key channels.
• Optimise creative, user journeys, campaign structures, and targeting, with structured experiments & test and learn roadmaps to scale results efficiently.
• Plan and deliver acquisition initiatives that balance near term results with long term growth goals.

Data & Reporting

• Ensure all activity is tracked comprehensively and maintain accurate reporting of campaigns and creative.
• Provide clear and actionable recommendations by analysing performance data.

Team & Vendor Management

• Manage and develop a small team, fostering ownership and executional excellence.
• Oversee agency and partner performance, ensuring alignment with KPIs and quality standards.

Marketing Technology & Automation

• Set up and optimise workflows and integrations using tools like HubSpot and Zapier.
• Use AI and automation to improve speed, scale, and campaign effectiveness.

Cross Functional Collaboration

• Work closely with Brand, Product, Sales, Data, and Compliance to ensure aligned, compliant acquisition.
• Contribute to go to market planning and unify performance with brand led growth.

Personal Attributes & Experience Skills & Experience

• 4+ years hands on experience executing and scaling high performing Performance Marketing campaigns, ideally with a strong focus on Meta Ads and within B2B or Fintech.
• Owned and delivered robust test and learn processes at scale, with specific focus on creative testing systems and user journey testing.
• Strong modelling and analysis skills using Excel and other analytics & visualisation tools.
• Strong understanding of attribution, offline conversion tracking, and tagging.
• Familiar with HubSpot, Zapier, and basic no code automation.
• Experience managing at least 1-2 direct reports and external partners.
• Bonus: Working proficiency with SQL.
• Bonus: Exposure to Financial Promotions or regulated industries.

Mindset & Working Style

• Analytical and data driven comfortable making decisions from performance metrics.
• Scrappy and self starting able to work with speed, autonomy, and limited resources.
• Technically fluent able to use AI tools and automation to enhance team efficiency.
• A fast learner who thrives in high growth, fast moving environments.
• Motivated by impact passionate about helping SMEs thrive through better banking.

Working at Allica Bank

At Allica Bank we want to ensure our employees have the right tools and environment in which to succeed in their role and in support of our customers.

Our employees are at the heart of everything we do, so our benefits are designed with you in mind:

• Full onboarding support and continued development opportunities
• Options for flexible working
• Regular social activities
• Pension contributions
• Discretionary bonus scheme
• Private health cover
• Life assurance
• Family friendly policies including enhanced Maternity & Paternity leave

Don’t tick every box?

Don’t worry if you don’t have all the skills or requirements listed on the job description. If you think you’ll be a good fit, we’d still love to hear from you!

Flexible working

We know the ‘9-to-5’ isn’t right for everyone. That’s why Allica Bank is fully committed to flexible and hybrid working. Please let us know what is best for you and, if we can, we will do our best to accommodate.

Diversity

We’re a diverse bunch here at Allica, with all kinds of experiences, backgrounds and lifestyles. Our openness and differences make us stronger, and we want everybody to feel comfortable bringing as much of themselves to work with them as they like.