Hybrid Junior SOAR DeveloperLondon, United Kingdom Role Purpose Role Purpose: Cyber Defence Operations (CDO) is Vodafone Group's Cyber Defence Operations Centre of Excellence. CDO's mission is to protect Vodafone customers against global cyber risk. CDO is specifically accountable for delivering: Cyber Defence operational leadership across Vodafone. Cyber Defence operational capabilities to Vodafone Group, the Local Market Operating Companies, and Partner Markets to enhance Vodafone's global cyber defence posture and reduce its cyber risk Join Us At Vodafone, we're not just shaping the future of connectivity for our customers - we're shaping the future for everyone who joins our team. When you work with us, you're part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact. SOAR Development - take part in and drive continual creation and refinement of automation playbooks within the Vodafone SOAR infrastructure to improve Cyber Security Operations efficiency and effectiveness. This would include responsibilities such as the following: Requirement Analysis - Collaborating with stakeholders to gather and analyse requirements for the SOAR and translating them into actionable development tasks. Risk Management - Identifying potential risks and challenges in SOAR development projects alongside implementing strategies to mitigate them. Vendor Management - Collaborating with external vendors or partners when necessary for tool integration, support or other aspects of SOAR development. Evaluating and making use of multiple data sources to build playbooks across multiple platforms and technologies. Utilise SOAR to facilitate metrics collection, analysis and reporting. Create and maintain SOAR documentation. Who you are Bachelor's degree or higher in Cyber Security/Information Technology or related field Strong understanding of security concepts and practices, along with proficiency in programming languages such as Python, JavaScript or others commonly utilised in SOAR development. Conceptual knowledge or hands-on experience with SOAR platforms such as Google SecOps SOAR, Splunk Phantom, IBM Resilient or similar tools. Knowledge of advanced threat detection and response methodologies alongside tools such as SIEM and SOAR, Understanding of cybersecurity principles including security operations, incident response and threat intelligence. Strong analytical and problem-solving skills to identify and address complex technical challenges in SOAR solution development.We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to for guidance.Together we can.Top skillsWeb ApplicationsAgile MethodologiesJavaCodingPHPSoftware DevelopmentSQL

Principal Robotics / C++ Software Engineer

London (Hybrid)

Define how a complex, real world system scales - technically and organisationally.

At sees.ai, we’ve built a system that enables unmanned aerial systems to carry out inspections of critical national infrastructure, making these missions repeatable, scalable, and commercially viable for asset owners. This is not a prototype or a simulation. It’s a complex, integrated system already deployed and working in the field, solving real operational problems.

Now, following a major contract with National Grid and recent investment, we’re entering the next phase: scaling that system into a robust, production platform and building the engineering organisation around it. We’re looking for a Principal Robotics / C++ Software Engineer to lead that transition.

The Role

This role goes beyond a typical senior engineering position. You’ll be responsible for shaping the long term technical direction of the entire software stack, while staying close enough to the system to ensure decisions hold up in the real world.

You’ll work across:

• Flight and mission systems
• Operator interfaces and 3D environments
• Connectivity and distributed systems
• Simulation, testing, and data pipelines

Your primary impact will be in:

• Defining architecture and technical strategy
• Driving engineering standards and system evolution
• Ensuring the platform scales in a way that supports repeatable, reliable operations
• Enabling the team to grow and deliver effectively as complexity increases

This is a role for someone who wants to take responsibility for how systems move from working solution to scalable, production platform.

What You’ll Be Doing

• Driving the technical vision and architecture of the full software stack
• Making key design decisions as the system scales from deployed solution to production platform
• Contributing hands on where needed, particularly in complex or high impact areas
• Leading technical discussions and setting engineering standards
• Mentoring engineers and helping grow a high performing team
• Working closely with integration, operations, and product to align technical direction with real world needs
• Shaping development processes, tooling, testing, and system reliability
• Playing a central role in team expansion and capability building

What You’ll Bring

• Deep experience in modern C++ in production systems
• Proven track record of designing and scaling complex, real world software systems
• Strong architectural thinking across large, interconnected systems
• Ability to balance technical depth with pragmatic decision making
• Experience influencing and guiding engineering teams
• Confidence operating in environments where systems are evolving and priorities shift

Nice to Have

• Experience in robotics, control systems, or real world system integration
• Strong Linux and Python experience
• Experience deploying machine learning models
• Experience with distributed systems, networking, or system connectivity
• Experience building and scaling developer tooling, testing frameworks, or CI/CD systems
• Experience mentoring or leading teams through growth

How You’ll Work

• Thinks in systems, not components
• Enjoys solving problems that exist in real world operational environments
• Wants to shape both technology and the team building it
• Is comfortable making decisions without perfect information
• Balances long term vision with immediate delivery needs

Why Join sees.ai

• Work on a system that is already deployed and operating in the field
• Shape how that system evolves into a scalable, production platform
• Play a central role in building a high performing engineering team
• See the real world impact of your decisions quickly
• Work on problems where software meets the physical world

About sees.ai

We’re building the operating system for large scale unmanned inspection operations, enabling systems to be deployed reliably in real world environments. Our technology is transforming how critical infrastructure is inspected - making it safer, more efficient, and scalable.

You’ll join at a pivotal stage, where a working system is being scaled into a robust platform, and where your work will directly shape how that happens.

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.

£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.

Senior Engineer page is loaded Senior Engineerlocations: UK-Londontime type: Full timeposted on: Posted Todayjob requisition id: R003806Senior Engineer Shift Pattern: Standard 40 Hour Week (United Kingdom) Scheduled Weekly Hours: 40 Corporate Grade: C - Vice President Reporting Line: (UK Division) Information Technology Location: UK-London Worker Type: Permanent About the London Metal Exchange: The London Metal Exchange is the world centre for industrial metals trading. Most of the world's global non-ferrous futures business is conducted on the LME's three trading platforms totalling $18 trillion, 178 million lots and 4 billion tonnes with a market open interest high of 1.8 million lots in 2024. All trades are cleared and settled by LME Clear. Participants can transfer or take on price risk against aluminium, copper, nickel, tin, zinc, lead, molybdenum, cobalt, lithium, steel scrap, rebar and hot-rolled coil as well as alumina, aluminium premiums and alloys.The LME and LME Clear are HKEX Group companies. Overall Purpose of Role : LMEsmart is the LME's Inter-Office Trading platform, responsible for trade registration, lifecycle management, and trade matching. The primary focus of the role is to engineer resilient Inter-Office integrations and workflows that automate recovery, streamline price band governance, and surface real time matching performance-reducing manual effort, improving compliance, and strengthening Inter Office market oversight.Develop the automation of test tooling and framework development for the Inter-Office Trading platform-onboarding vendor tools, analysing requirements, developing, deploying and documenting solutions. Execute and evolve the automated test suite with actionable MI/reporting; refining a robust automation foundation that improves efficiency and delivery; communicate key insights to IT and Business stakeholders; and manage the relevant test environments so application codebases and underlying infrastructure are well understood and documented. PERSON SPECIFICATION: Academic and Professional Qualifications Required: Preferred - Bachelors or Master's Degree (Computer Science or Related Degree, Maths or Physics also considered) Required Knowledge and Level of Experience: Degree in Computer Science, IT or related disciplines. 5+ years' experience in software development with Java (JVM), including performance optimisation and profiling. Deep understanding of cloud infrastructures, usage patterns, across at least one major cloud vendor. Knowledge of off heap data structures, including memory mapped file based data structures. Knowledge and experience of JVM based optimisation. Experience with distributed systems, data streaming (e.g., Kafka) and big data processing paradigms. Working in any of: Scrum, Agile, XP, Kanban or Lean Software Development environment. Software and application design and algorithm design and implementation. Version control with Git; understanding of DevOps principles and secure software development (DevSecOps). Working knowledge of data streaming standards and use cases; exposure to highly available services. Security aspects of software development. Bonus for knowledge of: UI development using React.js. Scripting languages, preferably Python. NoSQL or distributed databases (e.g., Redis, Couchbase) Automation/configuration management (e.g., Ansible, Puppet, Chef). Containerisation and orchestration (Docker, Kubernetes). Public cloud (e.g., AWS) and IaC (e.g., CloudFormation). Skills set and Core Competencies Required for Role: Highly proficient in Java; able to build high throughput, low latency services. Understanding of containers and Kubernetes; ability to implement complex network topologies in cloud like environments. Ability to scale applications to handle high frequency market data. Must be able to communicate clearly and constructively with wide range of audiences in writing or in speech Be able to make decisions and have action-oriented attitude. Establishes and maintains constructive and collaborative relationships with all business areas. Proactive planning, pragmatic judgement and attention to detail. Personal Qualities: Calm under pressure with changing priorities; resolves issues innovatively. Dynamic, self motivated, accountable and proactive; takes pride in team deliverables. Strong interpersonal skills; able to mentor and support colleagues.The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression and reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication.Hong Kong Exchanges and Clearing Limited (HKEX) is a publicly-traded company (HKEX Stock Code:388) and one of the world's leading global exchange groups, offering a range of equity, derivative, commodity, fixed income and other financial markets, products and services, including the London Metals Exchange.As a superconnector and gateway between East and West, HKEX facilitates the two-way flow of capital, ideas and dialogue between China and the rest of world, through its pioneering Connect schemes, increasingly diversified product ecosystem and its deep, liquid and international markets.HKEX is a purpose-led organisation which, across its business and through the work of HKEX Foundation, seeks to connect, promote and progress its markets and the communities it supports for the prosperity of all.

Are you ready to make a significant impact in the world of model risk management? At Model Risk Governance and Review Group (MRGR), we are at the forefront of assessing and mitigating model risks across the globe. With a presence in major financial hubs like New York, London, Mumbai, and Paris, our team collaborates with top professionals in Risk, Finance, and Model Development. This is your chance to work in a dynamic environment, gain exposure to various business areas, and contribute to critical decision making processes.

As a Model Risk Analyst/Associate in the Model Risk Governance and Review team, you will play a crucial role in reviewing equityderivatives models and enhancing model risk governance. You will collaborate with model developers, trading desks, and risk professionals to ensure the soundness and suitability of complex pricing models. Together, we will drive innovation and maintain robust model risk controls.

Job responsibilities

• Analyze the conceptual soundness of complex pricing models and reserve methodologies.
• Develop and implement alternative model benchmarks and performance metrics.
• Liaise with model developers, trading desks, and risk professionals to provide guidance on model risk and usage.
• Maintain model risk control apparatus and serve as the first point of contact for the coverage area.

Required qualifications, capabilities, and skills

• Excellence in probability theory, stochastic processes, statistics, and numerical analysis.
• Strong understanding of option pricing theory and quantitative models for derivatives.
• Experience with Monte Carlo and numerical methods.
• Strong analytical and problem solving abilities.
• MSc or equivalent in a relevant field.
• Proficiency in C/C++ programming and Python.
• Inquisitive nature with excellent communication skills.
• Teamwork oriented mindset.

Preferred qualifications, capabilities, and skills

• Experiencewithequity derivatives

Join a high-impact Treasury team helping shape how we manage liquidity and funding across the Commercial and Investment Banking(CIB) in Middle East Africa and North Africa (MENA). You’ll build practical reporting and analysis tools that inform decisions on growth, balance sheet usage, and risk.

As an Commercial and Investment Banking (CIB) Treasury Associate within in CIB Treasury, team you will support development of CIB Treasury in Middle East Africa and North Africa ( MENA), including developing regional liquidity reporting tools and work practices, new business initiatives analysis of liquidity, funding and balance sheet impacts including liaising with various stakeholders to communicate proposals and highlighting risks. You will get the exposure across the organization and you will have opportunity to get the view of the CIB’s activity within the region, liquidity risk management, funding, capital markets and hands on interaction on various business initiatives.

Job responsibilities

• Develop business-based MIS on changes in liquidity, funding, FTP/liquidity premium and interest rate metrics.
• Build and maintain regional liquidity reporting tools and supporting processes and controls
• Oversight for provision of accurate and timely liquidity and funding inputs on new business initiatives,
• Act as a central point of contact for businesses and partners across CIB Treasury, CIB businesses, regional Treasury/Chief Investments Office (TCIO) team and multiple internal stakeholders.
• Support ongoing monitoring of regional liquidity and funding trends and key drivers of change
• Prepare clear presentations and materials for stakeholder updates and decision making

Required qualifications, capabilities, and skills

• Good working knowledge of Investment Bank products (Markets and Banking), along with financial theory and accounting principles.
• A few years of experience in treasury, liquidity risk, balance sheet management, ALM, finance,
• Strong analytical, investigative problem solving, and decision making skills with a focused work ethic, good business sense, and demonstrated initiative.
• Good communication skills (written and verbal), particularly the ability to communicate technical concepts.
• Self starter, able to work in a fast paced, result driven environment.
• Strong interpersonal and relationship building skills with the capability to engage various functions, locations, and businesses.
• A ‘hands on’ team player who is equally comfortable carrying out detailed analysis independently or coordinating input from others.
• Excellent working knowledge of Excel and PowerPoint (including PitchPro)

Preferred qualifications, capabilities, and skills

• Experience in participating in projects or initiatives, with a willingness to learn how to manage contributions from various groups.
• Familiarity with data analysis tools like Alteryx, Python and Tableau is a plus, with a willingness to learn and develop these skills.
• Previous experience in funding, liquidity, and regulatory developments.

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!

Job Title

Full Stack AI Engineer

Salary

Up to £70,000 + Equity

Company Description

CreateTOTALLY - AI-powered creative automation for Figma and Adobe

Job Description

As a Full Stack AI Engineer at CreateTOTALLY, you will build and ship features that automate creative production for global brands. Leveraging Next.js, Node.js, and LLMs, you’ll solve the repetitive production grind by developing intelligent automation workflows, owning features end-to-end on AWS serverless infrastructure within a fast-moving, central London-based startup environment.

Location

London, UK

What you will do

• Develop and deploy full-stack features using Next.js/React, Node.js, and Python on AWS serverless infrastructure.
• Integrate LLMs and AI APIs into the core product to automate asset generation, reviews, and complex brand workflows.
• Collaborate across the team to improve UX and pragmatic technical architecture, ensuring high performance across Figma and Adobe integrations.

The ideal candidate

• 3-5 years of full-stack experience with deep proficiency in React/Next.js, Node.js, and PostgreSQL databases.
• Proven experience integrating AI/LLM APIs into production applications and a passion for modern AI-assisted development tools.
• A self-directed builder with strong UK work rights who prioritizes shipping speed and user experience over backend plumbing.

Location:London, UK (Hybrid / On-site)
Type:Full-time
Salary:£45,000-£65,000 + Equity Options (DOE)

The Role

We are looking for an Embedded Systems Engineer who thrives at the intersection of hardware and software. You’ll take ownership of the design, implementation, and testing of low power Bluetooth devices, working from prototype to production across embedded firmware, electronics integration, and system level optimization.

This is a hands on role for an engineer who enjoys building real devices - thinking deeply about power, latency, and communication efficiency - while collaborating with AI and neuroscience teams exploring the frontier of intelligent systems.

Key Responsibilities

• Develop and optimize firmware for low power, connected embedded systems (BLE / BT 5.x)
• Design and debug embedded architectures using STM32, Nordic nRF, ESP32, or similar microcontrollers
• Implement communication protocols (BLE GATT, SPI, I C, UART) and data streaming interfaces
• Implement ASIC and FPGA optimization
• Work closely with hardware and mechanical engineers to refine PCB layouts and sensor integration
• Build test infrastructure for firmware validation, including scripting (Python) and CI pipelines
• Collaborate with AI and data science teams on embedded to cloud data interfaces
• Contribute to system level design discussions around efficiency, reliability, and scalability

About You

You’re a builder - someone who makes things work in the real world. You have a history of creating both software and physical devices, whether in research labs, startups, or personal projects. You thrive on solving cross disciplinary challenges and are driven by curiosity, not just specification sheets.

You:

• Think in systems - from PCB traces to software stacks
• Have experience with low power or battery operated devices
• Are fluent in C/C++ for embedded development and comfortable with Python for tooling or automation
• Value clarity, creativity, and rigor
• Are motivated by long term impact, not short term hacks
• Have interest or experience in neuroscience, biomedical devices, or AI (ideal but not required)

Requirements

• Degree in Electrical, Electronic, Computer Engineering, or related field
• 3+ years of hands on embedded development experience
• Strong knowledge of Bluetooth LE and wireless communication fundamentals
• Familiarity with RTOS environments and low level debugging tools
• Experience with Linux based development workflows and version control (Git)
• Understanding of power optimization and hardware software integration

Preferred (Nice to Have)

• Experience with biosignal acquisition, neurotech devices, or sensor fusion
• PCB design exposure (KiCad, Altium, or similar)
• Experience deploying embedded ML or edge AI models
• Contributions to open source or research projects

What We Offer

• A research driven environment bridging neuroscience, embedded systems, and AI
• Flexible hybrid setup - work from a London lab or remotely
• Competitive salary with equity participation
• Opportunity to contribute to groundbreaking technology with real human impact
• Small, interdisciplinary team committed to rigor, openness, and creativity

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?

About Dynamo AI

Dynamo AI is building the future of trustworthy AI for the enterprise. Our platform provides real-time guardrails, red-teaming, and observability for generative and agentic AI systems-ensuring safe, compliant, and reliable deployments across regulated sectors such as financial services, insurance, healthcare and government.

We’re backed by leading partners and rapidly expanding with some of the world’s most sophisticated enterprises. Our products are in production at some of the largest institutions in the world (including Intel, Lenovo, Experian, and the US Army), actively unlocking AI deployments. We’re well recognized and well funded (>$30M raised), with offices in NYC, SF, Bangalore, and a European office planned to open soon.

The Agentic Security Team builds the product and infrastructure behind Agent Warden - a security layer for agentic systems that detects risk patterns, enforces guardrails, and gives teams visibility into what their AI agents are actually doing. We ship backend services, frontend dashboards, CLI tools, and the deployment infrastructure that runs them. We work in tight loops with the Applied Research team, turning their insights into production systems. You can see what we’re building here.

You’ll build and own the production systems behind Agent Warden - the backend services, frontend dashboards, CLIs, and deployment infrastructure that make the product work end-to-end. You’ll ship features fast, keep things simple, and make the systems reliable enough for enterprise customers to depend on. You can see what we’re building here.

This is a full stack, backend heavy role with a strong agentic development philosophy. We develop using AI-assisted workflows (Cursor, Claude Code, agent skills) as a first-class part of how we build software - not as an afterthought. You’ll be expected to be highly productive in this mode of working.

In this role you will:

• Own end-to-end multiple backend services - APIs, data pipelines, shared libraries, and ML-adjacent packages (Python, FastAPI, NestJS)
• Build frontend dashboards and UIs with clean DOM rendering, efficient state management, and solid UX principles (React, TypeScript)
• Design and work with data models and migrations (PostgreSQL), and caching layers (Redis)
• Contribute to CI/CD and deployment infrastructure (Dockerfiles, Helm charts, GitHub Actions, K8s, AWS) and own release cycles end-to-end - versioning, binary packaging (PyInstaller), and distribution
• Write and use agent skills, cursor rules, and structured AI-assisted workflows as part of your daily development process
• Own the quality of what you ship - unit tests, latency tests, performance benchmarks, load tests, and debugging production issues
• Collaborate closely with the Applied Research team to productionize new capabilities

You might thrive in this role if:

• You have strong full-stack experience - you’re comfortable building APIs, writing database queries, and shipping React/Next.js UIs
• You’ve built production services with FastAPI or similar frameworks
• You understand dependency management and packaging - you’re comfortable with uv , pyproject.toml , editable installs, and managing dependency graphs across shared libraries
• You’ve owned release cycles end-to-end - versioning, changelogs, binary packaging, and distribution
• You’re comfortable with infrastructure: Docker, Kubernetes, Helm, GitHub Actions, AWS. You don’t need to be a DevOps engineer, but you can read a Helm chart, debug a failed deploy, and add an environment variable without hand-holding
• You develop using AI-assisted tools (Cursor, Claude Code, Copilot) and are productive in agentic workflows - writing skills, using structured prompts, and leveraging AI to move faster. No AI slop.
• You care about code quality, clear abstractions, and keeping things simple. You prefer explicit over clever.
• You have working knowledge of Git and are comfortable with trunk-based development, rebasing, and clean commit hygiene
• You’re comfortable working in ambiguity - requirements change fast, priorities shift, and you’re proactive about figuring things out rather than waiting for direction
• You communicate clearly and can own a feature end-to-end - from understanding the requirement to deploying it

Nice to have:

• Experience building CLIs with clean argument parsing, help text, and user-friendly error handling
• Understanding of Model Context Protocol (MCP), have built MCP servers/clients, and understand how LLMs invoke tools and interact with external systems
• Experience with Redis Streams, event-driven architectures, or real-time data pipelines
• Experience with ArgoCD, GitOps workflows, or managing multi-environment deployments
• Interest in AI security - understanding how agentic systems can be exploited and how to defend against it

What we offer

• Competitive salary + equity, so you share in the company’s upside
• Work at the forefront of AI security, helping define a new category
• Remote-friendly, with a preference for candidates based in Amsterdam, Paris, Poland, New York, or San Francisco
• Fully funded team retreats every 8 weeks
• Health insurance allowance for you and your dependents
• Wellbeing, learning, and home office allowances (to support health, growth, and your setup)

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.

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.

As a Assistant Vice President Financial Crime Risk Transaction Monitoring Control Owner, you will have a key role in contributing and delivering the FC Transactional Monitoring optimisation and strategy for all in scope Barclays UK (BUK) and Barclays International (BI) business and jurisdiction locations. The role will focus predominantly on the development and optimisation of Surveillance TM solutions for in-scope Barclays UK (BUK) and Barclays International (BI) businesses / locations.

To be successful as a Financial Crime Risk Transaction Monitoring Control Owner, you should have experience with;

Qualifications

• Implementing, optimising, and tuning TM systems or similar financial crime controls.
• Working in a regulated business environment with governance, control, and risk management exposure, ensuring adherence to action and escalation procedures.
• Experience using analytical tools for data exploration, analysis, and visualization.

Highly valued skills

• Experience coding in SQL, Scala, Spark, Python, etc.
• Appreciation of financial crime, AML, and transaction monitoring/detection systems and processes, including AML and terrorist financing trends and typologies.
• Excellent verbal and written communication skills, with a considerable record of building relationships and engaging with technical and non-technical stakeholders across functions.

You may be assessed on key critical skills relevant for success in the 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.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes.
• 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 lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively.
• Communicate complex information. ‘Complex’ information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders 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.

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

We’re building the next generation of intelligent financial tools for SMEs, starting with an AI-powered Treasurer. Our platform will give business owners real-time visibility across accounts, AI-native cashflow forecasting, and smart treasury optimisations - redefining how small and medium-sized businesses manage money.

We’re looking for a Senior Machine Learning Engineer to join us at the ground floor and has the autonomy to make a real-world impact. This is an opportunity to have a positive impact on UK SME’s and help shape the future of AI native financial services.

Role Description

As our ML engineer, you will:

• Build and deploy ML and LLM-powered applications that deliver actionable financial insights and decision support.
• Work end-to-end across the stack: rapidly prototype and iterate with product and design to bring new features to life.
• Ensure models interpretability and explainability, so SMEs can understand the “why” behind the insights.
• Develop guardrails and fail-safes to guarantee AI outputs are trustworthy in high-stakes financial contexts.

Personal Attributes & Experience

• We strongly value talent, agency, curiosity, and hunger.
• Strong technical ability in machine learning, NLP, or large language models.
• Hands-on experience with Python, PyTorch/TensorFlow, and OpenAI SDK (or similar).
• Strong knowledge of Classification and Time series models.

Bonus points for:

• Experience shipping LLM applications in production.
• Contributions to ML/AI projects and/or a portfolio of ML projects you’ve worked on.
• Achievements in competitive programming, STEM olympiads, or other indicators of exceptional technical ability.
• Peer-reviewed publications.

Please note: This is a 12 month fixed term role with possibility to extend longer.

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.