About Wolt

At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.

We are seeking a forward-thinking, AI-first leader to shape and drive the evolution of Marketing Innovation across the organization. Sitting within the Marketing function, this role is responsible for defining how AI transforms marketing-from how we plan and create, to how we execute, personalize, and scale.

As Global Head of Marketing Innovation, you will lead the transition from traditional marketing operations and tooling toward AI-powered workflows, agent-driven automation, and intelligent decision systems. You will define what capabilities marketing needs to succeed in an AI-native environment and translate those into clear, prioritized roadmaps in close partnership with Product, Engineering, and Data teams.

This role goes beyond managing technology-it is about rethinking how marketing works. You will act as the primary bridge between Marketing and technical teams, ensuring AI solutions are aligned with business goals, scalable across markets, and embedded into day-to-day workflows. You will also lead a small but high-impact team, including an AI Enablement specialist responsible for driving adoption across the organization.

The role reports directly to the Senior Director of Growth Marketing & Innovation.

What you’ll be doing AI Strategy & Marketing Transformation

• Define and lead the long-term vision for AI-powered marketing, including automation, personalization, and intelligent workflows.
• Identify high-impact opportunities where AI can replace manual work, improve decision-making, and unlock scale.
• Drive the transition from tool-based execution to AI-enabled operating models across marketing functions.

AI Product Thinking & Roadmap Ownership

• Translate marketing needs into AI-driven solutions, including agents, automation systems, and intelligent workflows.
• Own and prioritize the Marketing Innovation roadmap, balancing business impact, feasibility, and scalability.
• Act as the primary DRI within Marketing for AI-related initiatives, managing trade-offs and sequencing.

Agentic AI & Workflow Automation

• Lead the design and deployment of AI agents to automate workflows across creative production, performance marketing, CRM, and localization.
• Ensure solutions are embedded into real workflows-not standalone tools.
• Continuously identify and scale automation opportunities across the organization.

Cross-Functional Leadership

• Partner closely with Product, Engineering, Data Science, and Analytics teams to build and deploy AI solutions.
• Ensure alignment between marketing needs, technical capabilities, and long-term system architecture.
• Influence without direct authority, driving execution through strong cross-functional collaboration.

AI Adoption & Enablement

• Own the global adoption of AI solutions across Marketing.
• Lead and mentor an AI Enablement specialist focused on training, documentation, and day-to-day usage.
• Establish clear processes, playbooks, and best practices to ensure teams effectively leverage AI capabilities.
• Drive cultural change toward AI-first ways of working.

Governance, Quality & Compliance

• Ensure AI solutions meet standards for quality, consistency, and brand alignment.
• Partner with Legal, Privacy, and Engineering teams to ensure compliance with data governance and regulatory requirements.
• Define guardrails, escalation paths, and approval processes for AI-driven workflows.

Vendor & Ecosystem Strategy

• Evaluate and manage external AI tools, platforms, and partners.
• Ensure the ecosystem supports long-term flexibility and avoids unnecessary complexity.
• Maximize value from vendors through structured evaluation and performance management.

Our humble expectations

• 8+ years of experience in product, AI/automation, marketing innovation, or related roles in high-scale digital environments.
• Strong product mindset, with experience translating business needs into scalable technical or AI-driven solutions.
• Solid understanding of marketing platforms and ecosystems (e.g., marketing automation, CRM, mobile attribution, ad tech), with the ability to evaluate trade-offs without needing to be hands on in system configuration or engineering
• Hands on understanding of AI capabilities (e.g., LLMs, agents, automation tools) and how they apply to marketing workflows.
• Experience working cross functionally with Product, Engineering, Data, and Analytics teams.
• Proven ability to operate in ambiguous environments and build structure where none exists.
• Strong stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience building or leading small, high impact teams.
• Passion for AI innovation and its application to real world operational challenges.

Nice to have:

• Experience with marketing platforms (CRM, automation, ad tech)
• Familiarity with prompt design, workflow orchestration, or AI tooling ecosystems
• Understanding of Marketing Automation and AdTech systems (e.g., Iterable, Braze, Salesforce, Appsflyer, Adjust)
• Basic data fluency (e.g., SQL or analytics tools)

What we offer

This is a rare opportunity to get under the hood of a massive growth engine and actually build the tools that make it run. You won’t just be managing existing software; you’ll be the strategic architect responsible for moving us away from manual, “copy paste” work toward a smart, automated system powered by AI and real time data.

You will have the mandate to bridge the gap between Marketing, Product and Engineering, making sure our tech stack is a competitive advantage rather than a bottleneck. Whether it’s building a marketing engine to win back millions of users or launching ML powered personalization that hits the right customer at the perfect moment, you will be the one making it technically possible.

If you want a high ownership role where you can solve real structural problems and lead a team of technical experts in a fast paced, global environment, this is it.

Next steps

Our hiring process prioritizes quality over speed to ensure we find the right long term fit for this critical role. Candidates move through the process one step at a time, typically starting with an initial screen and a hiring manager interview, followed by a peer interview and a take home case study presentation, concluding with a final value fit conversation.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases.

Role Summary

As a Data Engineer, Lakehouse and AI Data Platform, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices.
• Take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimisation and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Stronger ownership of technical design across multiple datasets or pipeline domains.
• Experience guiding implementation standards, code quality and engineering practices within a team.
• Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers.
• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalised and denormalised models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerised or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For

We are looking for engineers who can deliver well structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast paced environment where data platforms support important business outcomes.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an interest in developing long term expertise within the firm

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

About the Role

We’re hiring a Demand Generation Manager to build and scale Tessl’s growth engine.

You’ll own pipeline creation across channels-from experimentation to execution. This is a hands on, data driven individual contributor role focused on building repeatable, measurable demand in a developer first market.

You’ll work closely with Product Marketing, Content, and Sales to ensure we’re attracting the right audiences and converting attention into high quality pipeline.

If you love testing hypotheses, building systems from scratch, and turning signal into scalable growth, this role is for you.

What You’ll Do

Pipeline Strategy & Execution

• Own demand generation strategy across paid, organic, partnerships, and community channels
• Build and optimise multi channel campaigns aligned to product launches and GTM priorities
• Drive MQL SQL pipeline growth with clear attribution and reporting

Experimentation & Optimisation

• Run rapid growth experiments across paid media, landing pages, email, and content distribution
• Manage budget allocation across channels based on performance
• Improve conversion rates across the funnel

Performance & Analytics

• Define and track core growth metrics (CAC, CPL, conversion rates, pipeline contribution)
• Build dashboards and reporting frameworks
• Use data to continuously refine strategy

Cross Functional Collaboration

• Partner with Product Marketing on launch amplification
• Align with Sales on ICP targeting and pipeline quality
• Work with Content to maximise distribution and reach

What We’re Looking For

Must have:

• 4-8+ years in demand generation or growth marketing (B2B SaaS preferred)
• Experience owning paid acquisition and multi channel campaigns
• Strong analytical skills and comfort with attribution models
• Demonstrated success building pipeline in early stage or high growth environments
• Bias for action and experimentation mindset

Nice to have:

• Experience marketing to developers or technical audiences
• Familiarity with PLG + sales assisted hybrid funnels
• Experience with marketing automation and CRM tooling (e.g. HubSpot, Salesforce)

Salary and benefits

Office: Our brand new office is located in the AI hub of Kings Cross, London. We offer generous catering, regular social events, and require staff to be in our HQ at least 3 days a week on anchor days (Monday, Tuesday, Thursday).

Salary: We offer a competitive salary based on experience and skills, benchmarked against industry standards.

Benefits: 25 days holiday, health insurance (including dental and vision, extended to partners and dependents), a company matched pension, a commuting stipend for non London residents, and a cycle to work scheme.

We care deeply about the warm, inclusive environment we’re building at Tessl and we value diversity - we welcome applications from those typically underrepresented in tech.

If you’re excited about building demand for a category defining AI product, we’d love to hear from you.

Would you like to be part of a growing analytics team looking to drive forward advanced data driven decision making at the heart of Lloyd’s insurance market?

Do you have a passion for analytics, visualization and generating real business impact through communicating value insights?

We are seeking a highly skilled Senior Data Analyst to join our forward thinking broking analytics team. This role combines commercial acumen, deep insurance expertise, and analytical capabilities to deliver actionable insights and optimise decision making across the organisation.

The successful candidate will deliver data solutions, standardise reporting practices, scale our Power BI capabilities and enhance analytical capability across departments. Based from our flagship London office, this role comes with Hybrid working.

What the day will look like

• Power BI Development: Build scalable data models, optimise model performance, and standardise reporting frameworks to deliver
• Deliver engineering pipelines in Databricks to create structured scalable assets to meet the evolving needs of the reporting requirements
• Assess AI for BI opportunities, leveraging LLMs and
• Develop reporting frameworks from critical source systems to enable deeper insights into operational and broking performance
• Collaborate with brokers, operations, and carriers to assess analytics requirements and translate business needs into actionable insights
• Insurance Market Expertise: Leverage Lloyd’s market knowledge to inform analytics solutions and reporting
• Deep of Data Modelling and architecture is
• Data Governance - embed standards and practices to improve data quality
• Liaise with analytics capabilities across departments and co ordinate to deliver business centric solutions
• Engage in strategic data transformation projects to provide technical guidance
• Data Engineering & Automation: Develop ETL processes using SQL and Python;
• Implement Power Automate and Power Apps for workflow automation
• AI & Emerging Technologies: understand how to leverage emerging capabilities

Skills and experience that will lead to success

• Mandatory: SQL, Power BI, Python scripting - Advanced modelling, optimisation, and governance.
• Expertise in standardising reporting practices and scalable BI solutions.
• Excellent communication and data storytelling.
• Passion for AI and experience leveraging it in a commercial context
• Strong stakeholder management and influencing skills.
• High commercial awareness and strategic thinking.
• Collaborative and adaptable in a fast paced environment.
• Proven experience in insurance analytics within the Lloyd’s or London Market.
• Expertise in standardising reporting practices and scalable BI solutions.
• Experience with Microsoft Co Pilot Studio or similar Agentic AI tooling.
• Familiarity with regulatory compliance and data governance practices.
• Understanding of underwriting / broking principles and performance analytics (loss ratios)

Senior Salesforce Developer Founding Hire Fintech Disruptor

Location: Central London (High-Frequency Office Presence) Salary: Up to £80k + Bonus + Equity/Share Options

The Mission

We are representing a rapidly scaling fintech disruptor in the insurance brokerage space, led by a founding team with a proven track record of multi-million-pound exits.

As the first dedicated technology hire, you will partner directly with an Engineering Director (a seasoned CTO) who has scaled and exited Salesforce teams before. You aren’t just maintaining a system; you are architectural owner of a platform facilitating substantial global revenue, positioned for a major liquidity event.

The Role

• Scale the Foundation: Move a “founder-built” architecture toward a scalable, enterprise-grade platform.
• Hybrid Development: Manage a 90% custom Sales Cloud environment (Apex/LWC) while championing a “Low-to-No Code” (Flow-first) philosophy.
• Strategic Advisory: Challenge the status quo, advising stakeholders on integrations and design elements that save capital and time.
• Data & AI: Lead the data structuring strategy to prepare the business for advanced AI utility and prompt engineering.

Technical Profile

• The Expert: Deep Sales Cloud proficiency and a “Flow Champion” mindset.
• The Developer: Ability to work within Apex and LWC frameworks is essential, even if your goal is to minimize code for future agility.
• The Strategist: Strong SOQL skills; SQL (Databricks) is a major advantage.
• The Visionary: An interest in AI utility and how it drives business efficiency.

The Environment

This is a sales-driven, high-octane culture.

• Collaborative: The team values the energy of the office.
• Action-Oriented: You are a “doer” who handles everything from high-level architecture to general user support.

The Reward

Beyond a competitive base and bonus, this role may offer equity/share options. Given the founders’ history of successful exits, this represents a genuine opportunity for a life changing financial event.

Principal Solutions Engineer page is loaded Principal Solutions Engineerlocations: Paris (Victoire): Londontime type: Full timeposted on: Posted Todayjob requisition id: R-211092 WHAT MAKES US, US Join some of the most innovative thinkers in FinTech as we lead the evolution of financial technology. If you are an innovative, curious, collaborative person who embraces challenges and wants to grow, learn and pursue outcomes with our prestigious financial clients, say Hello to SimCorp!At its foundation, SimCorp is guided by our values - caring, customer success-driven, collaborative, curious, and courageous. Our people-centered organization focuses on skills development, relationship building, and client success. We take pride in cultivating an environment where all team members can grow, feel heard, valued, and empowered.If you like what we're saying, keep reading! Why this role is important to us SimCorp is currently seeking a qualified experienced professional to join our Product Specialist team as a full-time employee, based in our UAE office to support our expansion in the region on Axioma products. The ideal candidate for this role is a motivated quantitative professional seeking an exciting and diverse role working with investment professionals. What you will be responsible for: Establish relationships with clients, and understand their system usage and special implementation requirements to manage and deliver analytics solutions fit to client use cases and secure high retention rates. Resolve complex client portfolio issues and become a subject matter expert on Axioma risk analytics products across asset classes. Ownership and execution of client onboarding and training Work with prospective clients to showcase and position the value of Axioma Analytics Solutions contributing to growth in Europe. Coordinate in-house efforts aimed at enhancing client satisfaction. Interact with quantitative research, operations and product teams as required. Use extensive knowledge of client issues/needs to identify opportunities for business and product development. Contribute to process improvement initiatives. What we value: Most importantly, you can see yourself contributing and thriving in the position described above. How you gained the skills needed for doing that is less important. We expect you to be good at several of the following and be able to - and interested in - learning the rest. Degree in a quantitative field such as Mathematics, Statistics, Finance, Econometrics, or Engineering. CFA, FRM, CAIA designations 5+ years of experience in quantitative finance in a similar role/industry Solid knowledge of risk modelling techniques and risk analytics across asset classes Solid understanding of pricing models relevant to various financial instruments such as CDS, IRS and FX Derivatives Experience with usage and interpretation of granular and factor risk models Ability to articulate complex concepts and methodologies to end users with varying backgrounds and levels of experience Experience with portfolio optimization and performance attribution systems Understanding of the use of APIs/web services Basic programming data manipulation skills in SQL, Excel, Python, Java, C# Great oral and written communication skills in English. French is also a good to have language for this position High problem-solving and execution skills Benefits Attractive salary, bonus scheme, and pension are essential for any work agreement. However, in SimCorp, we believe we can offer more. Therefore, in addition to the traditional benefit scheme, we provide an extensive work-life balance and opportunities for professional development: there is never just one route - we offer an individual approach to professional development to support the direction you want to take. Visit our career pages to learn more about working at SimCorp: The role allows for flexibility including the option to work from home up to 3 days a week. Next steps Please send us your application in English via our career site as soon as possible, we process incoming applications continually. Please note that only applications sent through our system will be processed. At SimCorp, we recognize that bias can unintentionally occur in the recruitment process. To uphold fairness and equal opportunities for all applicants, we kindly ask you to exclude personal data such as photo, age, or any non-professional information from your application. Thank you for aiding us in our endeavor to mitigate biases in our recruitment process.For any questions you are welcome to contact Azeta GUITI, LeadTalent Acquisition Partner. If you are interested in being a part of SimCorp but are not sure this role is suitable, submit your CV anyway. SimCorp is on an exciting growth journey, and our Talent Acquisition Team is ready to assist you discover the right role for you. The approximate time to consider your CV is three weeks.We are eager to continually improve our talent acquisition process and make everyone's experience positive and valuable. Therefore, during the process we will ask you to provide your feedback, which is highly appreciated. WHO WE ARE For over 50 years, we have worked closely with investment and asset managers to become the world's leading provider of integrated investment management solutions. We are 4,000+ colleagues with a broad range of nationalities, educations, professional experiences, ages, and backgrounds in general.SimCorp is an independent subsidiary of the Deutsche Börse Group. Following the recent merger with Axioma, we leverage the combined strength of our brands to provide an industry-leading, full, front-to-back offering for our clients.SimCorp is an equal-opportunity employer. We are committed to building a culture where diverse perspectives and expertise are integrated into our everyday work. We believe in the continual growth and development of our employees, so that we can provide best-in-class solutions to our clients.: 3 Locationsposted on: Posted 25 Days Ago

The Data Scientist II - Product Analytics role is an established contributor within the analytics function, applying data science principles and playbooks to solve business problems. This role regularly interacts with stakeholders up to the Senior Manager level and plays a key part in delivering insights that drive performance improvements across the Search domain.

We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees’ passion for travel and ensure a rewarding career journey.

In this role, you will:

• Extract and combine data from multiple sources to build datasets for modeling and analytics.
• Apply statistical techniques such as regression analysis, ANOVA, and probability theory to business problems.
• Design and recommend experiments (e.g., A/B tests, pre/post analysis, causal impact) to answer strategic questions.
• Build and apply common models (e.g., linear/non-linear regression, clustering) with an understanding of data requirements and assumptions.
• Create clear, inclusive visualizations that support storytelling and deepen stakeholder understanding.
• Collaborate with stakeholders to refine project goals, scope, and outputs iteratively.
• Write efficient, shareable code and documentation using tools like GitHub, IEX, and Confluence.
• Automate reporting tasks and build scalable dashboards to support data democratization.
• Communicate project goals, methodology, and insights to technical and non-technical audiences.
• Work with big data, applying best practices for data quality, query optimization, and pipeline development.

Experience and Qualifications:

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, or a related field or equivalent experience.
• 1-2+ years of experience in data analytics or a comparable role.
• Demonstrated ability to deliver data-driven insights that drive change or performance improvement.
• Intermediate proficiency in Python, R, or SQL for data analysis, transformation, and visualization.
• Experience with big data challenges and solutions.
• Strong critical thinking, problem-solving, and communication skills.
• Familiarity with inclusive design principles in data visualization.
• Business acumen and ability to frame business problems as analytical tasks.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effectively cover our use cases. In this role, you will build specialized evals to improve answer quality across Perplexity, covering search based LLM answers and other scenarios popular with our users.

Responsibilities

• Architect and maintain automated evaluation pipelines to assess answer quality across Perplexity’s products, ensuring high standards for accuracy and helpfulness
• Design evaluation sets and methods specifically to measure the impact of tool calls (particularly web search retrieval) on the final answer’s quality
• Develop VLM based solutions to programmatically evaluate how final answers render visually across different platforms and devices
• Continuously review public benchmarks and academic evaluations for their applicability to the Perplexity product, adapting and incorporating them into our regular performance measurements
• Operate within a small, high impact team where your evaluation metrics directly shape product changes, collaborating closely with technical leadership to measure and improve Answer Quality

Qualifications

• PhD or MS in a technical field or equivalent experience
• 4+ years of experience in data science or machine learning
• Strong proficiency in Python and SQL (expected to write production grade code)
• Experience building within a modern cloud data stack, specifically AWS and Databricks
• Comfortable with agentic coding workflows and using AI assisted development tools to iterate faster

Preferred Qualifications

• 1+ years of experience working with LLMs at scale, specifically with LLM as a judge setups
• Prior experience working on customer facing web products or consumer apps, with real user traffic at scale
• A strong research background, with experience applying research methods to real world ML problems
• Experience defining evaluation metrics (e.g., factual consistency, hallucination rate, retrieval precision) and building ground truth datasets

Summary

Apple is a place where extraordinary people gather to do their best work. Together we create products and experiences people once couldn’t have imagined - and now can’t imagine living without. If you’re motivated by the idea of making a real impact, and joining a team where we pride ourselves in being one of the most diverse and inclusive companies in the world, a career with Apple might be your dream job! You will become a member of the Sales Finance team at Apple. With approximately 150 employees based across 12 locational hubs within EMEIA (Europe, Middle East, India and Africa), we bring value, collaborating with many teams to provide outstanding commercial and financial support. We set the bar high; go out of our way to help others; share knowledge; filter out noise to focus on the essential; encourage the very best from ourselves and the team; and drive the right course of action. To do all of this you will be an excellent communicator, collaborator and innovator, with a passion for debate and inclusion. The purpose of this role is to provide timely and accurate forecasts with insights on demand, enabling effective decision making.

Description

You will have responsibility for preparing country product forecasts, in close collaboration with sales teams, for the current and upcoming quarters. Core tasks will involve variance analysis of performance including insight from local markets; understanding drivers of short and long-term performance; identifying risk and opportunity to demand and presenting and discussing these in Leadership reviews. Great communication and commercial acumen will be important to analyse key business trends; monitor consumer offers live in the market; and provide insights into performance within products, countries and channel partners.

Minimum Qualifications

• Excellent communication and influencing skills are crucial.
• Proven Excel & SQL experience, comfortable to work with large data sets to visualise findings.
• Proficient in spoken and written English, with another language an advantage.
• Highly analytical, with ability to offer solutions based recommendations.
• Strong presenting skills, being able to tell your story in a structured way and have valuable discussions with leadership.

Preferred Qualifications

• Innovative team based player, with forward-thinking approach that strives for operational improvements.
• Knowledge of Tableau/Keynote is an advantage.
• Able to act independently and be self-motivated.
• Ability to see big picture whilst simultaneously zooming into the details.

At Apple, we’re not all the same. And that’s our greatest strength. We draw on the differences in who we are, what we’ve experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law.

Job Description:

The person will support the test environments to enable delivery of features to mobile/online banking customers. The person will have hands-on experience with CICS webservices, ZOS Connect, DB2, SQL along with understanding of AWS Services.

Key Responsibilities:

• Provide expert support and timely resolution of environment issues focusing on mainframe systems and related infrastructure.
• Work on test data support requirement for the teams
• Collaborate closely with DataPower and AWS teams to understand integration points and troubleshoot cross-platform dependencies.
• Implement best practices for environment stability, performance tuning, and security compliance.
• Produce detailed technical documentation, status reports, and issue logs for ongoing support and knowledge sharing.
• Communicate effectively with cross-functional teams including developers, infrastructure engineers, and project managers to ensure timely resolution of issues and alignment on priorities.
• Work on automation using but not limited to Python, Shell scripting, and GitLab pipeline.

Required Skills and Qualifications:

• Proven experience in mainframe environments, particularly with CICS webservices, ZOS Connect EE, DB2, and batch processing.
• Strong skills in mainframe transaction management, JCL, and system debugging tools.
• Excellent verbal and written communication skills to effectively articulate technical issues and solutions.
• Ability to work under pressure and manage multiple priorities in a fast-paced environment.
• Strong problem-solving skills and a proactive approach to identifying and resolving issues.

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA)

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go to market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product line in a meaningful way.

The Lakewatch product line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer facing security solutions (of which 3+ years are in a customer facing, pre sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection as code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
• Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes in cybersecurity.
• Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics.

Compliance

If access to export controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Summary The Client Solutions Manager for Meta's Global Business Group team partners with our most strategic clients to make sure they are successful with Meta. This is an opportunity to build and manage key relationships, serve as a consultative product expert and a trusted adviser in marketing, leading strategy, media planning, creative, tech integration, and measurement for our top clients across various verticals including Ecommerce, Retail and other industries in Türkiye.The Client Solutions Manager is a strategic solution-driver with a focus on developing ROI-positive marketing strategies, driving growth by constantly improving performance for advertisers and implementing measurement & attribution solutions. This role is responsible for optimizing complex opportunities and using data and analytics to build consultative and technical solutions for our customers, providing business insights, driving revenue, advertiser education, and satisfaction through a consultative, data-driven approach. Required Skills Client Solutions Manager (CSM) - Ecommerce & Omni-Channel, Türkiye Responsibilities: 1. Identify, create, and implement marketing solutions grounded on achieving measurable business results for our clients 2. Develop vertical expertise, including industry research and perspective, to drive overall business objectives and marketing solutions for advertisers. Including 1st party data, ecomm platforms and attribution and measurement systems 3. Work with businesses to understand their objectives and develop the Meta strategy in partnership with the Client Partner, which will constitute building on insights, crafting marketing strategies and media plans, creative guidance and measurement recommendations 4. Provide dedicated account management to top clients, to develop, manage, optimize, and support strategic account plans, and leverage data to create business solutions for clients 5. Project Management - Work and collaborate with broad group of internal cross-functional teams, managing complex work streams to optimize marketing objectives for clients. Manage analytics and dashboards to advise clients (e.g. daily client facing data/insights reporting, understanding performance across multiple accounts across multiple country used by clients) 6. Manage strategic marketing conversations with clients, agencies, and partners (media, creative, measurement partners, MarTech, etc.) 7. Advise clients on media and creative strategy, planning, measurement and optimization of campaigns to deliver against Key Performance Indicators 8. Use data and insights to guide strategy and implementation of Meta solutions against client's marketing objectives 9. Manage internal account operations (revenue delivery, media recommendations, troubleshooting issues, optimization opportunities) 10. Manage planning, execution, ongoing reporting and optimisation of campaigns (e.g. budget spend, internal analytics and dashboards, optimisation and real time recommendations) Minimum Qualifications 1. 5+ years of experience in customer acquisition or in marketing, media, and/or consulting 2. Professional working proficiency in Turkish and English is needed due to partner with external clients in Turkish and EMEA markets 3. Experience working directly in digital advertising marketing or media and/or experience of work at consulting firms 4. Experience analyzing large datasets and delivering actionable insights with experience of Python, SQL, and/or statistical packages 5. Experience to communicate, collaborate and work effectively in a team, with cross-functional teams and with multiple layers within the organization (internally and externally) 6. Demonstrated experience with digital media platforms, advertising metrics, and industry trends (Direct Response marketing, data and technology solutions, ad-tech, partnerships) 7. Leadership experience with multiple cross-functional projects with a high attention to detail 8. Evidenced track record of proactively initiating projects, prioritizing tasks and manage workload effectively, managing responsibilities and adapting to changing demands 9. Capacity to travel as needed for client and partner meetings 10. Success in this position requires consultative sales and analytical skills, a focus on client service and commercial acumen, and the ability to thrive in a dynamic, team-focused environment Preferred Qualifications 1. Experience with business case modeling and market/opportunity sizing 2. Experience in digital marketing measurement solutions and attribution models 3. Cross-border commerce experience across various markets Industry: Internet

About Man Group

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.

Headquartered in London, we manage $227.6 billion and operate across multiple offices globally.

The Team

The Data and AI division at Man Group is dedicated to ensuring the business can generate valuable insights from data. The division owns the sourcing, delivery and analytics of traditional and alternative data to our investment teams as well developing and supporting Man Group’s central data platform. The division is also responsible for development of generative AI tooling to drive innovation and accelerate business processes.

As a Senior Analyst in the Data Science team, you will acquire, wrangle, map and analyse large structured and unstructured datasets to support quantitative research and portfolio management teams in alpha generation. You will act as a subject matter expert on select projects - delivering fundamental research, exploratory analysis and actionable insights.

Your responsibilities span the full data lifecycle: vendor scoping, data ingestion, exploratory analysis and pipeline prototyping. You will be expected to embrace AI development tools to accelerate delivery and drive adoption across the team. Work is delivered through self managed projects in collaboration with investment teams and the wider Data & AI division, with the goal of providing scalable, low touch data delivery and analysis.

• Collaborate with investment teams to identify data opportunities, propose creative use cases, and recommend datasets to inform investment strategies.
• Acquire, transform and analyse large, messy and unstructured datasets to support investment research and decision making.
• Research company KPIs, perform statistical tests and draft research reports to maintain an accessible knowledge base for investment teams.
• Contribute to the design and development of our AI powered data platform, streamlining the data scouting onboarding evaluation workflow.
• Build proof of concept data products and AI driven tools, collaborating with technology to productionise them.
• Contribute to firm wide data initiatives and stay informed on industry trends in alternative data.

Essential

• 4+ years of proven experience in data wrangling, time series analysis, statistical techniques and data visualisation.

• Proficient in the Python data science stack (Pandas, NumPy, Spark, Matplotlib) with experience leveraging AI assisted coding tools to accelerate development.

• Working knowledge of Snowflake, Linux/UNIX, Git, Jira.

• Passion for embracing agentic engineering - willingness and ability to work effectively with AI development tools as part of daily workflow.

• Ability to present technical results and concepts to non technical audiences.

• Entrepreneurial mindset with a willingness to deeply understand investment strategies and proactively push data driven solutions.

• Strong academic record with a degree in a STEM field.

• Previous experience working with investment professionals in a fast paced environment preferred.

• Experience writing ETL pipelines and fluency in SQL preferred.

Inclusion, Work Life Balance and Benefits at Man Group

You’ll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you’ll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at You’ll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you’ll receive two annual ‘Mankind’ days of paid leave for community volunteering.

Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.

Equal Employment Opportunity Policy

Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.

Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Software Engineer - Defined Benefits Team

Location: London - hybrid 50%

Contract: Permanent

Hours: Fulltime - 35 hours

Purpose

Support the DB Transformation engineering team in designing, developing, and delivering enterprise grade software built on a Python (FastAPI), React (Next.js), and Azure Kubernetes Service (AKS) stack. This role plays a key part in building our service oriented data platform, ensuring scalability, reliability, and security within a regulated environment. You will work across the stack-from front end applications to containerised services-and help embed DevOps excellence and modern engineering practices across the team.

Key Responsibilities

• Deliver high quality, secure and maintainable code using Python, React and TypeScript, aligned to business and architectural standards.
• Contribute to the development of a cloud native data platform running on Azure Kubernetes Service, ensuring scalability and reliability.
• Design and build RESTful APIs and data integration services using FastAPI, with occasional use of Go where required.
• Develop responsive and high performing front end applications using React, Next.js and modern component libraries.
• Containerise and deploy applications using Docker and Helm within Kubernetes environments.
• Build and maintain CI CD pipelines in Azure DevOps, embedding automation, testing and release quality.
• Apply Infrastructure as Code using Terraform and ensure solutions meet security and compliance standards including OWASP and data protection.
• Collaborate across engineering and product teams, contribute to Agile practices, support production systems and mentor junior developers.

Examples of Key Activities

• Develop and maintain backend services using FastAPI to support core business functions.
• Build and enhance React and TypeScript front ends using Next.js, focusing on performance, usability and component reusability.
• Design, build and maintain scalable solutions across the Microsoft Power Platform including Power Apps, Dataverse, Power Pages, Power Automate and custom connectors, integrating with Azure services and APIs.
• Containerise and deploy applications using Docker and Helm within Azure Kubernetes Service environments.
• Extend and manage CI CD pipelines in Azure DevOps, embedding automated testing, linting and security scanning.
• Implement monitoring and observability using Azure Monitor, Grafana and structured logging to ensure system reliability.
• Define and provision infrastructure using Terraform, while applying secure coding practices and supporting risk and threat assessments.
• Collaborate with architecture and engineering teams, contribute to code reviews and testing, and support incident management and continuous improvement.

What we’re looking for Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Desirable - Relevant certifications in Microsoft technologies and Azure are highly desirable.

Experience

• Strong experience with React, TypeScript and Next.js alongside Python and SQL Server to build scalable applications.
• Proven ability to design and develop RESTful APIs for internal and external integrations.
• Hands on experience with Azure services including App Services, Azure SQL, Key Vault and Azure DevOps.
• Experience with Docker and Azure Kubernetes Service for containerisation and microservices deployment.
• Solid understanding of DevOps practices including CI CD pipeline design and deployment automation.
• Familiarity with Infrastructure as Code tools such as Terraform and ARM templates for environment management.
• Experience supporting production systems, including incident triage, root cause analysis and resolution of complex issues.
• Strong understanding of secure coding practices, OWASP principles, Agile delivery, Git, testing and code review best practices.

Our behaviours

At Just you’ll have the opportunity to develop your career, whilst making a difference to the lives of those around you. You’ll be part of a company with a strong and distinctive culture - we’re ambitious, curious and collaborative - and every decision we make centres around being Just and delivering the best outcomes for our customers.

What’s in it for you

• A competitive salary, pension scheme and life assurance.
• 25 days annual leave plus an additional day on us for your birthday.
• Private medical cover and income protection, just in case.
• A generous and highly achievable bonus scheme.
• Opportunities to progress your career in role and within the company.
• Free access to the Headspace app, 24/7 employee assistance helpline and trained physical and mental health first aiders.
• A variety of employee funded benefits available via our online benefits portal.
• Plus, several additional purchase options available for you and your loved ones.
• Valuing diversity of thought and fostering a sense of belonging is critical to our business success, driving innovation and balanced decision making. Our work on DEIB (Diversity, Equity, Inclusion and Belonging) aims to deliver a brilliant employee experience underpinned by a sense of belonging, where our people feel proud to work at Just.
• We remain committed to our publicly disclosed HM Treasury Women in Finance Charter and Race at Work Charter targets and support a wide range of employee network and events, championing issues including intergenerational working, social mobility and neurodiversity.

Let's be Stoxx is seeking a Principal Software Engineer to bring expert-level technical leadership to the development and deployment of our financial data distribution platform. We are in the process of a fully re-architecting our distribution ecosystem to a modern componentised set of solutions using GCP technologies. In this IC role, you will collaborate with Software Product Management to establish direction and refine requirements and within the Engineering team to design, build, prove and migrate to the new stack.You'll be passionate about delivery of incremental value. You have experience defining and leveraging Generative SDLC approaches to rapidly turn complex requirements and designs into capable solutions. You'll be able to demonstrate comfort and success in a matrixed organisation where reporting lines do not always dictate technical direction - in a culture where the global Data Engineering functions collaborate to achieve shared success. You will collaborate with cross-functional peers and stakeholders to share best practice and knowledge and drive continuous improvement initiatives.You'll be a humble expert, willing and able to meet people at their level and both help them and learn from them. You'll lead by example, using data and proof-of-concepts to bring people along and make them successful. You'll own deliverables as well as co-developing solutions with your peers and colleagues, to help others develop.Success in this role means you successfully navigate the line between personal and team value delivery - you embody beliefs and practices that helping your peers and colleagues grow and deliver their best, improves and reflects back on you too. Responsibilities Technical architect - Co-own our data distribution architecture and its evolution with peer Principal Data Engineers Generously share your experience to help your peers develop and grow Interpret product needs, requirements and enterprise policies into project requirements Be hands on, do what you expect others to do Help delivery teams implement your project requirements, focusing on automation and maximising reuse, quality and value Advocate for our architecture and solutions, demonstrating technical principles and business value and constantly seek feedback Assist with recruiting activities Keep abreast of emerging trends and technologies in cloud data distribution and operation, to form and disseminate new insights Requirements 10+ years experience, with at least 5 in senior data engineering roles, with focus on data distribution in the cloud Experience as a technical thought leader Experience coaching and mentoring high-performing teams Experience leading the development and deployment of large-scale, complex data pipelines Experience using and getting the best out of generative AI approaches API first mindset Design and delivery of decomposed batch preparation and real-time API pipelines Experience of user-entitlement management Experience of cloud development, the benefits and challenges Design and completion of complex migration projects, from technical and process/systems perspectives Experience of GCP products across database, serverless, containerization and API Pragmatic experience using agile to deliver incremental value Experience working in a global or multinational team setting Strong communication and collaboration skills Focus on simplicity, automation and observability Bachelor's or master's degree in computer science or related field Expertise in Python, Golang, SQL, Apigee Desirable Experience building and integrating agentic RAG solutions into data pipelines Experience with data cataloguing capabilities Domain knowledge of financial market data and financial index data models and feeds What You Can Expect from Us At ISS STOXX, our people are our driving force. We are committed to building a culture that values diverse skills, perspectives, and experiences. We hire the best talent in our industry and empower them with the resources, support, and opportunities to grow-professionally and personally. Together, we foster an environment that fuels creativity, drives innovation, and shapes our future success. Let's empower, collaborate, and inspire. Let's be . About ISS STOXX ISS STOXX GmbH is a leading provider of research and technology solutions for the financial market. Established in 1985, we offer top-notch benchmark and custom indices globally, helping clients identify investment opportunities and manage portfolio risks. Our services cover corporate governance, sustainability, cyber risk, and fund intelligence. Majority-owned by Deutsche Börse Group, ISS STOXX has over 3,400 professionals in 33 locations worldwide, serving around 6,400 clients, including institutional investors and companies focused on ESG, cyber, and governance risk. Clients trust our expertise to make informed decisions for their stakeholders' benefit. STOXX(R) and DAX(R) indices comprise a global and comprehensive family of more than 17,000 strictly rules-based and transparent indices. Best known for the leading European equity indices EURO STOXX 50(R), STOXX(R) Europe 600 and DAX(R), the portfolio of index solutions consists of total market, benchmark, blue-chip, sustainability, thematic and factor-based indices covering a complete set of world, regional and country markets. STOXX and DAX indices are licensed to more than 550 companies around the world for benchmarking purposes and as underlyings for ETFs, futures and options, structured products, and passively managed investment funds. STOXX Ltd., part of the ISS STOXX group of companies, is the administrator of the STOXX and DAX indices under the European Benchmark Regulation. Visit our website: View additional open roles: Institutional Shareholder Services ("ISS") is committed to fostering, cultivating, and preserving a culture of diversity and inclusion. It is our policy to prohibit discrimination or harassment against any applicant or employee on the basis of race, color, ethnicity, creed, religion, sex, age, height, weight, citizenship status, national origin, social origin, sexual orientation, gender identity or gender expression, pregnancy status, marital status, familial status, mental or physical disability, veteran status, military service or status, genetic information, or any other characteristic protected by law (referred to as "protected status"). All activities including, but not limited to, recruiting and hiring, recruitment advertising, promotions, performance appraisals, training, job assignments, compensation, demotions, transfers, terminations (including layoffs), benefits, and other terms, conditions, and privileges of employment, are and will be administered on a non-discriminatory basis, consistent with all applicable federal, state, and local requirements. Let's empower, collaborate, and inspire one another. Let's be !ISS STOXX GmbH, through its group companies, is a leading provider of comprehensive and data-centric research and technology solutions that help capital market participants identify investment opportunities, detect qualitative and quantitative portfolio company risks, and meet evolving regulatory requirements. With roots dating back to 1985, we today deliver world-class benchmark and custom indices across asset classes and geographies and serve as a premier source of independent corporate governance, sustainability, cyber risk, and fund intelligence research, data, and related offerings. Our products and services give clients the scale and leverage they need to grow their business more effectively and efficiently. ISS STOXX, which is majority owned by Deutsche Börse Group, is comprised of more than 3,400 professionals operating across 33 global locations in 19 countries. Its approximately

Senior Catastrophe Research Analyst page is loaded Senior Catastrophe Research Analystremote type: Hybridlocations: Londonposted on: Posted Yesterdayjob requisition id: R Job Type: Permanent Build a brilliant future with Hiscox Senior Catastrophe Research Analyst Reporting to the Director of Underwriting Risk, Hiscox Re London based with Hybrid working Role Overview In this role you will be focused on Hiscox Re's Catastrophe Research efforts. You will lead and co-ordinate research projects on catastrophe risk, including vendor model validation, defining the Hiscox View of Risk for specific perils and regions. The role is embedded in the Hiscox Re Risk Analytics Team and you will work closely with the reinsurance underwriters, catastrophe modelling team, the Capital Partners team and have exposure to brokers, cedants and third-party investors. What you'll be doing in the role Lead and co-ordinate Hiscox Re's catastrophe research activities. Lead specific research projects that include: + defining and implementing the Hiscox View of Risk + validation of catastrophe vendor models, + leading research on catastrophe frequency and severity on specific regions and perils. Co-ordinate research projects and specific project work with reinsurance underwriting teams, Hiscox Group research and exposure management teams and other Hiscox business unit catastrophe managers. Present externally to brokers, cedants and Hiscox capital partners, confidently articulating our catastrophe management and View of Risk. Provide thought leadership on topics relating to natural catastrophes including climate change. Represent Hiscox Re internally at risk committees and exposure management groups. Own scientific and portfolio insight on active cat events and communicate this to Hiscox Re and Group leadership teams. Represent Hiscox Re at Industry events Establish and maintain connections with research institutions and academia Person specification Self-motivated, driven and able to lead, collaborate and gain the commitment of others Exemplary research skills, critical thinking and ability to make business judgements. A PhD or Masters degree in a related or scientific field. Knowledge of catastrophe reinsurance and ILS. Excellent technical knowledge of catastrophe modelling and exposure management. In depth knowledge of the main catastrophe vendor models including their strengths and weaknesses. Strong commercial acumen and strategic mindset. Excellent written and verbal communication skills for a range of expert/non-expert audiences. Strong technology skills including R, python, SQL. About Hiscox As an international specialist insurer, we are far removed from the world of mass market insurance products. Instead, we are selective and focus on our key areas of expertise and strength - all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way of doing things.We insure the unique and the interesting. And we search for the same when it comes to talented people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is encouraged to think creatively, challenge the status quo and look for solutions.Scratch beneath the surface and you will find a business that is solid, but slightly contrary. We like to do things differently and constantly seek to evolve. We might have been around for a long time (our roots go back to 1901), but we are young in many ways, ambitious and going places.Some people might say insurance is dull, but life at Hiscox is anything but. If that sounds good to you, get in touch. Work with amazing people and be part of a unique culture locations: Londontime type: Full timeposted on: Posted 30+ Days AgoIf you want to help build a brilliant future; work with amazing people; be part of a unique company culture; and, of course, enjoy great employee benefits that take care of your mental and physical wellbeing, come and join us.

Location: Hybrid, three days per week in our London office Email: Hours: Full Time Contract: Permanent Closing Date: 10 July 2026 In a Nutshell Denaee is developing a global fintech super app and deep tech solutions ecosystem that integrates digital banking, payments, virtual trading, AI driven systems, intelligent automation, advanced analytics, digital twin technologies, and connected software and hardware infrastructure. Data intelligence is central to our innovation strategy. We are seeking a highly capable Data Scientist to help transform complex data into actionable insights that strengthen our fintech platforms and intelligent technology systems. Your Role As a Data Scientist at Denaee, you will leverage advanced analytics, machine learning, and statistical modelling to enhance decision making across our fintech and deep tech services. You will analyse large scale financial, behavioural, and operational datasets to identify patterns, risks, and growth opportunities. Responsibilities include building predictive models, developing machine learning algorithms, designing experimentation frameworks, and delivering data visualisations that support executive and product strategy. You will collaborate with engineering, AI, product, and compliance teams to integrate scalable, secure, and high performance data solutions into our digital banking platforms and intelligent systems. Requirements Candidates should hold a degree in data science, statistics, computer science, or a related quantitative field, with advanced qualifications highly regarded. Proven experience in data analytics and machine learning within fintech, financial services, or advanced technology environments is essential. Strong proficiency in Python, R, SQL, and relevant machine learning libraries is required. You should demonstrate expertise in statistical analysis, predictive modelling, data governance, and visualisation techniques. Clear communication skills and the ability to translate complex analytical findings into strategic recommendations are critical. Why Denaee Joining Denaee means contributing to a forward looking organisation redefining finance through intelligent data driven fintech platforms and deep tech ecosystems. You will work alongside engineers, AI specialists, strategists, and product leaders committed to innovation and scalability. We offer a flexible hybrid working model, exposure to advanced digital infrastructure, and the opportunity to make a measurable impact on high growth financial and technology platforms. Be Yourself At Denaee, we value diversity, equal opportunity, and inclusive collaboration. We welcome applications from individuals of all backgrounds and foster an environment where diverse perspectives drive innovation. If you require any support during the recruitment process, please contact and we will ensure your experience is accessible and fully supported.

TheSolutions Architect (AI/BI) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (AI/BI) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The AI/BI product-line requires the following core technical competencies:

• Experience in designing and delivering cloud-based Data Visualisation and Analytics Solutions in a client or customer environment
• Ability to advise customers in lakehouse analytics architecture: Prepare Databricks stakeholders for internal conversations and communicate directly, including anticipating blockers and address them before they become an issue
• Certification and/or demonstrated competence in data visualisation and analytics systems along with one of Azure, AWS or GCP cloud providers
• Demonstrated competence in the Lakehouse architecture including hands on experience with Apache Spark, Python and SQL

The impact you will have

• Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory.
• As a trusted advisor, serve as an expert Solutions Architect and “champion,” building technical credibility with stakeholders to drive product adoption and vision.
• Enable clients at scale through workshops and developing customer facing collateral that helps increase technical knowledge and thought leadership.
• Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams
• Handle the most complex technical challenges in this product line by acting as the tier 3 escalation point for the field, ensuring customer success in mission critical environments.
• 6+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level data strategy and product adoption.
• Proven ability to co plan large territories with Account Executives and operate in a highly coordinated, cross functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third party consulting organizations to drive customer outcomes.
• Proficient in programming, debugging, and problem solving using SQL and Python.
• Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast paced, customer facing environments.

About Databricks

If access to export controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Hybrid (2 day a week WFH) upon successful completion of probation / training plan

BYTES:

Bytes Technology Group is a leading provider of world class IT solutions, represented by Bytes Software Services and Phoenix Software. Established in 1982, Bytes has grown rapidly and now employs over 450 people across 5 locations in the UK and Ireland. Our turnover in Financial Year 2019 was in excess of £520M. We work with SMEs, corporates, and public sector organisations to modernise and digitally transform their IT infrastructures.

We invest in our employees through ongoing support, training, and advice to help them achieve their career aspirations, rewarding success both financially and personally. There is opportunity to grow and move internally, as evidenced by our long standing employees who have developed existing and new skills to move into senior positions, leaving space for new team members to begin their journey.

PURPOSE OF JOB

As a Senior Service Desk Engineer, you will provide high quality support and act as a primary point of support for the Bytes Software Services functions and its staff. You will take on additional responsibilities such as covering some Team Leader duties, handling more complex tickets, and sharing your knowledge with the team. You will also serve as a role model for newer or more junior members, fostering a collaborative and supportive environment.

KEY RESPONSIBILITIES

• Be a friendly and supportive point of contact for all Bytes colleagues seeking support.
• Support users through logging Service Requests via the Customer Portal or navigating ‘self help’ information via SharePoint sites.
• Log and triage all incident tickets, capturing detailed information to support investigations.
• Use the online service desk to handle support calls.
• Document processes and reference guides.
• Support wider IT teams in the delivery of projects where applicable.
• Use SCCM, Azure, Cloud Services, VMWare, NetApp, and SQL applications.
• Provide a professional and high quality interface between systems support and its customers, ensuring customers feel assured they will be helped.
• Have good knowledge of FreshService and its configuration features.
• Be a strong and demonstrable supportive team player.
• Provide support on projects and changes across the wider IT team.
• Have a good understanding of Bytes hardware builds (laptops and desktops via Microsoft SCCM).
• Understand and work with Windows Server environments.
• Maintain systems support information and documentation for both end users and within the team.
• Coordinate and publish IT announcements.
• Provide support and cover to the Service Desk Team Lead.
• Act as a primary point of support for other team members, offering guidance and assistance.
• Take ownership of more complex tickets and ensure timely resolution.
• Share knowledge and best practices with the team to improve overall service quality.
• Cover Team Leader responsibilities as needed, including coordinating team activities and managing workloads.
• Serve as a role model for newer or more junior members of the team, promoting a positive and collaborative work environment.
• Learn and better understand the FreshService ticketing system to enhance day to day activities.
• Be instrumental in putting forward and encouraging others to suggest ideas for improvement.

QUALIFICATIONS, EXPERIENCE & SKILLS Qualifications

• Operating Systems - Windows 10, Windows 2012/ 2016
• Client Applications - Microsoft Office, Microsoft Teams
• Hardware - First Level PC maintenance (replacing memory, hard disks, graphics cards)
• Certifications such as CompTIA A+, Network+, or ITIL.
• Experience with service desk software and remote support tools.
• Knowledge of cloud services and virtualisation technologies.

Additional Qualifications, Skills and Knowledge

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• Proven experience in a technical support or service desk role.
• Strong knowledge of Windows and Mac operating systems.
• Familiarity with network troubleshooting and basic network concepts.
• Experience with specific software such as Microsoft Office Suite, Active Directory, and remote support tools.
• Excellent problem solving and communication skills.
• Positive attitude towards problem solving and learning new technologies.
• Adaptable and flexible in an ever evolving environment.
• Customer focused and driven to resolve incidents and requests accurately and promptly.
• Ability to work independently and as part of a team.

Qualities

• Articulate, literate, presentable, customer facing & technically astute.
• Self motivated, enthusiastic and willing to learn.
• Punctuality & good time keeping are essential.
• Team Player

Working Hours and Benefits

Working Hours:
The EUC support team covers business hours from 08:00 to 17:30, Monday to Friday.

Diversity and Inclusion

At Bytes Technology Group, we believe that diversity and inclusion are key to fostering innovation and creativity. We are committed to creating a workplace where everyone feels valued and respected, regardless of their background, identity, or beliefs. We encourage applications from all qualified candidates and are dedicated to providing equal opportunities for all employees.

Company Culture

At Bytes Technology Group, we live by our motto, “Grow great people.” We believe in investing in our colleagues and supporting their individual career journeys. Our culture is built on continuous learning, collaboration, and the personal and professional growth of our team members.

• Competitive salary and benefits package.
• Opportunities for professional development and career growth.
• A supportive and collaborative work environment.

Job Description Please wait Data AnalystReq ID: 57476Posting Start Date: 13/04/2026Job Function: Software EngineeringDivision: NetworksJob Location: GBR Ipswich - Adhara Building, GBR-London-BTHQ One BrahamAdvertised Salary: Competitive + great benefits All Locations: Ipswich or London Working Style: Hybrid (3 days a week in office, 2 days from home) About the role We are renowned for designing and running the best operational teams in the industry. We support some of the biggest brands in the UK across both mobile and fixed networks, and we invest heavily in our people and technology to make sure our customers get the best experience.It's in our culture to evolve and become better and with the emergence of AI and automation, we are keen to embrace the technology and understand the art of the possible.We are building a specialist Data & AI capability within Network Operations Transformation to accelerate our shift toward smarter, more proactive operations. The Data Analytics Specialist will be a key part of that capabilityturning operational data into trusted insight, clear reporting, and decision support that underpins automation and AI initiatives.This role sits at the heart of how we measure progress and prove value. You'll help create consistent views of performance, demand, and workflow visibility, enabling teams to identify issues earlier, prioritise better, and optimise business outcomes. This includes partnering with stakeholders and tooling teams to ensure insight is scalable and reliable not just bespoke reporting.As part of the transformation team, you will bring curiosity, transparency, and continuous improvement building strong stakeholder relationships and raising data confidence through clear definitions, quality checks, and repeatable analysis.This role offers opportunities to explore modern analytics approaches, build your skills in operational data, and play a visible part in shaping the next generation of Network Operations. What you'll be doing Lead the scoping, design, and delivery of analytics across Network Operations initiatives, translating operational questions into clear analytical approaches and ensuring outputs are relevant, trusted, and actionable. Working with the Network Operations Transformation team, providing the analytical insight and performance visibility required to support automation, optimisation, and change. Conduct detailed analysis on complex operational datasets, often spanning multiple systems, to evaluate performance, demand, workflow behaviour, and operational outcomes. Develop advanced analytical products using appropriate analytics tooling to support deep dive investigations, audits, and repeatable insight generation for senior stakeholders. Design and build dashboards and visualisations that communicate insight clearly and effectively to both technical and non technical audiences. Improve efficiency through automation and standardisation, reducing manual effort in repeatable data analysis, and reporting by establishing reusable patterns, templates, and analytical standards. Champion continuous improvement in data analytics, staying current with emerging tools, techniques, and best practices, and actively sharing knowledge to improve insight quality, data confidence, and analytical maturity across Network Operations. Essential Skills / Experience Strong expertise in data analysis, including identifying trends, patterns, and root causes within complex, multi source datasets, and applying best practice across the end to end analytics lifecycle to deliver successful data and AI initiatives. Hands on technical expertise using SQL, Python, R (or similar analytical tools) to query, validate, analyse, and automate analytical workflows at scale. Solid understanding of data structures, metrics, and performance measures, and how these are used to enable data led decision making and performance management. Strong knowledge of how data is curated, extracted, transformed, and visualised, with the ability to assess data quality, limitations, robustness, and suitability for analysis. Experience designing effective dashboards and data visualisations that clearly communicate insight, context, and recommended actions to technical and non technical audiences. Understanding of how scalable and maintainable analytical data pipelines are built and sustained, with consideration for reuse, quality, and long term sustainability. Agile and collaborative approach to delivery, able to work effectively through changing priorities and evolving analytical demands. Clear, confident communicator, capable of presenting insights and recommendations to diverse stakeholders. Ability to adapt quickly to new tools, technologies, and analytical requirements in a fast moving environment. Desirable Skills / Experience Proven experience working in large scale, complex organisations, applying structured and data driven analysis to support operational and transformation decision making. Strong business acumen, with an understanding of operational performance drivers, KPIs, and how analytics supports prioritisation, optimisation, and transformation outcomes. Experience within Network Operations environments, including exposure to service assurance, repair processes, tools, and systems. Experience with data visualisation tools such as Grafana, Apache Superset, Qlik, or Streamlit. Awareness of modern data platforms and analytics technologies, including distributed data systems, analytical databases, and ETL/ELT tooling, and how these enable scalable analytics and reporting. Ability to build and enhance data solutions or products, with a continuous improvement mindset. Enthusiastic about learning and applying new technologies, demonstrating a strong growth mindset. Our Package Tailored benefits make a real difference. That's why we offer a comprehensive range to support your growth, wellbeing, and everyday life. You can design the package to suit you and your lifestyle. Your core benefits include:• 10% on target annual bonus • Access to an online private GP 24/7 for you and your immediate family • Market-leading paid carers leave with up to 2 weeks off • Equalized maternity, paternity, and adoption leave - 18 weeks' full pay and 8 weeks' half pay • Discounted EE and BT products, including mobile and broadband • Market leading Pension scheme - 5% from you and 10% from us • Holiday purchase schemeYou can select additional benefits, including healthcare, dental, gym memberships and more when you're ready.BT Group is the UK's leading communications group and the holding company behind some of the country's most recognised brands - including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.BT Group's role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next - simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future

The Role

As a Software Architect / Solutions Architect at Air Apps, you will be responsible for defining and overseeing the overall system architecture for our AI-powered platform. You will collaborate with engineering teams, product managers, and stakeholders to design scalable, secure, and high-performing solutions that align with business objectives.

You will play a key role in shaping our technology strategy, evaluating new tools and frameworks, and ensuring best practices in software design, cloud infrastructure, and system integration.

• This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts.

Responsibilities

• Define and maintain the overall architecture and system design for scalable and efficient software solutions.
• Provide technical leadership to engineering teams, guiding them in best practices for architecture, coding, and system scalability.
• Design and document high-level system diagrams, data flows, and API structures.
• Evaluate and recommend technologies, frameworks, and cloud services to optimize performance, security, and cost-efficiency.
• Ensure high availability, fault tolerance, and security in all architectural decisions.
• Oversee system integrations, including microservices, APIs, and third-party services.
• Work closely with DevOps and SRE teams to ensure smooth deployment and operational reliability.
• Establish coding and architecture standards, ensuring maintainability and scalability of codebases.
• Identify and mitigate technical risks, ensuring system resilience and future scalability.
• Conduct architecture reviews and performance audits to continuously improve system efficiency.

Requirements

• Around 6+ years of experience in software development and architecture.
• Strong expertise in system design, cloud computing, and microservices architecture.
• Experience with cloud platforms (AWS, Azure, or Google Cloud Platform) and cloud-native architectures.
• Proficiency in backend technologies (e.g., Node.js, Python, Java, .NET) and experience with modern frontend frameworks (e.g., React, Angular, Vue).
• Knowledge of databases (SQL and NoSQL), caching strategies, and data pipelines.
• Experience with event-driven architectures, API design, and containerization (Docker, Kubernetes).
• Strong understanding of security best practices, identity management, and encryption techniques.
• Ability to evaluate trade-offs in architectural decisions, balancing scalability, cost, and complexity.
• Familiarity with DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform, CloudFormation).
• Strong communication skills, with the ability to explain complex architectural concepts to technical and non-technical stakeholders.

What benefits are we offering?

• Apple hardware ecosystem for work.
• Annual Bonus
• Top-tier Health and Life Insurance for peace of mind.
• Transportation Budget to support your commute needs.
• Coverflex benefits package for meal allowances, well-being, and more.
• Childcare support.
• Air Conference - an opportunity to meet the team, collaborate, and grow together.
• Pension Fund to support your long-term financial planning.
• Urban Sports Club membership to keep you active.
• Meals 100% free at the hub.

Diversity & Inclusion

At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger.