Trabajos sql en Reino Unido - Page 11

Data Engineer - Insurance £80,000 1 Year FTC London Based - 2/3 days in Office We’re looking for a Mid Data Engineer to help design, build, and operate scalable, reliable, and high-quality data infrastructure across a modern Microsoft-based data platform. This role sits at the intersection of software engineering and data management, ensuring that data flows seamlessly from source systems into analytics-ready structures that power insight, reporting, and decision-making across the organisation. You’ll play a key role in shaping how data is built, trusted, and consumed—working closely with business domains, analysts, data scientists, and platform engineers. Data Engineering & Pipelines • Build and maintain robust ETL/ELT pipelines using Microsoft Fabric (Data Factory, Lakehouse, etc.), • Design reliable ingestion processes from APIs, databases, and file-based sources, • Apply best-practice pipeline design patterns for resilience and re-runnability Data Modelling & Analytics Enablement • Design analytical data models that are performant, maintainable, and business-friendly, • Apply dimensional modelling techniques for BI and reporting use cases, • Build and optimise Power BI semantic models and datasets Microsoft Data Platform • Contribute to the evolution of a modern Azure/Microsoft data platform, • Optimise pipelines for performance, scalability, and cost efficiency, • Work confidently across cloud data storage and compute services Data Mesh & Domain Ownership • Support domain-oriented data product development in partnership with business teams, • Promote standards for naming, metadata, documentation, and discoverability, • Enable decentralised data ownership while maintaining consistency Experience • Proven experience as a Data Engineer in a modern cloud data environment, • Strong SQL skills (complex queries, joins, optimisation), • Hands-on Python for data processing and pipeline development, • Experience with Microsoft Fabric and Power BI (datasets, semantic models), • Understanding of data modelling for analytics and reporting, • Familiarity with CI/CD, testing, version control, and data quality practices, • Exposure to data mesh / domain-oriented data ownership (desirable)

Analytics Engineer London £65,000 to £70,000 This is a high impact Analytics Engineer role where you will help rebuild and shape a central data capability at a pivotal point. You will join a lean core team with strong executive backing, giving you real ownership over data models, transformation logic and analytics foundations that support multiple product areas across the business. The Company They are a well established, consumer focused digital business operating at scale, with a strong emphasis on data driven decision making. Data plays a central role in how products are built, measured and improved, and the organisation is continuing to invest in its modern data platform. With a collaborative culture and clear appetite to improve analytics maturity, this is an environment where hands on engineers can make a visible difference. The Role • Act as a core member of the central analytics function supporting multiple product verticals, • Design, build and maintain robust data models for analytics and reporting, • Develop transformations using dbt on a Snowflake data platform, • Work closely with data infrastructure, product and analytics stakeholders to deliver scalable data solutions, • Contribute to rebuilding core analytics capability following a period of underinvestment, • Take a practical, delivery focused approach with limited reliance on heavy stakeholder management Your Skills and Experience • Strong commercial experience using SQL for analytics and data transformation, • Proven capability in dimensional data modelling, with Kimball style approaches preferred, • Hands on experience with dbt for transformation and modelling, • Experience working with cloud data warehouses, ideally Snowflake, • Comfortable using Python or similar languages for data tasks and logical problem solving, • Able to work autonomously in a small team and take ownership of end to end analytics solutions

Data Product Manager London Hybrid, 2 days a week on site Up to £70k + bonus Overview As a Data Product Manager, you will play a key role in delivering high-quality data platforms, products, and analytics solutions. Working closely with Engineering Leads and cross-functional teams, you will define the vision, strategy, and roadmap for data initiatives, ensuring alignment with broader business objectives. You will focus on solving meaningful problems through innovative and scalable data solutions, enabling teams across the organisation to make informed, data-driven decisions while improving operational efficiency. Key Responsibilities • Define and execute the strategy for data platforms, core data products, and analytics solutions, • Own the product lifecycle from ideation through to delivery and continuous improvement, • Collaborate with stakeholders to gather requirements and translate business needs into product solutions, • Partner with engineering teams to determine delivery approaches, timelines, and technical execution, • Ensure data products are scalable, user-centric, and aligned with governance and quality standards, • Drive adoption of data products and promote a culture of data-driven decision-making, • Prioritise initiatives based on business impact, feasibility, and strategic alignment Why This Role Matters This role is central to enabling a data-driven organisation. By delivering scalable, accessible, and well-governed data solutions, you will help teams unlock insights, improve decision-making, and drive innovation. You will also contribute to building a culture of data ownership and empowerment across the business. About You • Proven experience in data product management, including work with data platforms, models, or analytics products, • Strong technical understanding of data systems, analytics, and data governance principles, • SQL, databricks, AI/ML product experience, • Ability to collaborate effectively with both technical and non-technical stakeholders, • Experience with agile methodologies, product lifecycle management, and roadmap planning, • Customer-focused mindset with a track record of solving high-impact problems, • Comfortable managing end-to-end product delivery in a cross-functional environment, • Strong willingness to learn, adapt, and grow within the role

C# .NET Developer | Azure | Contract | London Hybrid | up to £530/day Inside IR35 Enterprise Digital Transformation Programme £530 per day | Inside IR35 Hybrid – 3 days onsite in London I’m currently working with a global technology consultancy supporting a major UK enterprise organisation on a significant transformation programme, and we’re looking for a strong C# .NET Developer to join the engineering team on a contract basis. This is an excellent opportunity to work in a modern cloud-first environment, helping to deliver scalable backend applications within a fast-paced enterprise programme. We’re looking for a developer with roughly 4–7 years of commercial experience, ideally someone who is still hands-on technically and enjoys building robust backend systems in modern Microsoft environments. Required experience • Strong commercial experience with C# / .NET backend development, • Hands-on experience with Microsoft Azure, including:, • Azure App Services, • Azure Functions, • Azure SQL, • Azure Service Bus, • Experience building and maintaining CI/CD pipelines using Azure DevOps, • Strong understanding of microservices architecture, • Experience building and consuming REST APIs, • Exposure to performance optimisation, scalability, and secure coding practices, • Comfortable working in Agile / Scrum delivery teams, • Experience collaborating with distributed technical teams and business stakeholdersNice to have, • Exposure to trading, commodities, utilities, or enterprise transformation environmentsContract details, • Rate: Up to £530 per day, • IR35: Inside IR35, • Location: London, • Working pattern: 3 days onsite per week, • Contract: 6 months initial contract with strong extension potentialThis role would suit a strong mid-level to senior engineer looking to join a high-profile enterprise programme with a modern Microsoft tech stack. If this sounds relevant, apply now or reach out directly for a confidential discussion.

🚀 Databricks Data Engineer (Contract) 🚀 📍 2 days per week onsite in London 📅 ASAP Start -6-Week initial Contract 💰 Outside IR35 We’re supporting a Databricks Delivery Partner on a short-term, high-impact migration engagement and are looking for a strong hands-on Databricks Data Engineer to join the project immediately. This piece of work will focus on migrating data tables and ETL workflows from AWS Glue into Databricks, working closely with an experienced delivery team in a fast-paced consulting environment. 🔑 The Role • Migrate existing data pipelines and tables into Databricks, • Build and optimise scalable PySpark-based data workflows, • Support Lakehouse and Delta architecture implementation, • Work across ETL orchestration, transformation and optimisation, • Collaborate directly with technical stakeholders and delivery teams 🎯 Required Experience • You must be Databricks Partner Programme vetted to be considered for the role, • Experience within a Databricks Delivery Partner / consulting environment, • Databricks Certified, • Strong PySpark / Spark / SQL capability, • Experience with ETL and data migration projects, • Exposure to orchestration tooling such as AWS Glue or Azure Data Factory, • Comfortable delivering in fast-moving project environments 📩 Drop me a message or email to find out more -

Technical Project Manager London | Fully onsite Salary up to 90k We are partnering with a fast growing technology driven organisation based in central London that operates in a highly analytical and engineering led environment. They are looking to hire a Technical Project Manager to support delivery across multiple complex systems and development initiatives. This is a hands on role working closely with software engineers and technical stakeholders, owning delivery plans, managing priorities, and ensuring projects are executed efficiently in a fast paced setting. The role will include: • Managing multiple technical projects end to end across software and data platforms, • Building and maintaining delivery roadmaps while adapting to changing priorities, • Working closely with developers and researchers to coordinate workloads and timelines, • Identifying delivery risks and implementing mitigation strategies, • Improving project management frameworks, documentation and reporting, • Supporting process improvement and resource planning across teams, • Acting as a key bridge between technical delivery and business objectives Key skills and experience: • Proven experience delivering complex technical or software projects, • Strong understanding of IT systems, software development and infrastructure, • Background working with developers in an engineering led environment, • Programming exposure ideally in C# and the .NET ecosystem, • Database experience such as SQL Server, Oracle or equivalent, • Experience working with version control and project management tools, • Strong communication skills with the ability to manage technical and non technical stakeholders, • Highly organised with strong attention to detail and prioritisation skills Why apply: • Salary up to 90k depending on experience, • Fully onsite role in a collaborative London office environment, • Work alongside highly technical engineers and researchers, • Flat structure with minimal bureaucracy, • Long term growth and progression opportunities, • Exposure to modern technology and advanced systems

Senior Crypto Research Analyst - FinTech Orbis is partnering with one of the most exciting and ambitious FinTech firms in the Cryptocurrency space as they invest in their globally renowned client-facing research offering. They are now hiring a Research Analyst with strong analytical skills (SQL / Python) who can turn Cryptocurrency insight into clear, engaging research that clients genuinely value. This is an incredible opportunity for an analytical Research Analyst who is genuinely passionate about cryptocurrency. You will gain unique exposure to real digital assets insights, shaping critical thought leadership for a global client base which includes many of the biggest and most recognised names in Investment Management and Trading. Your key responsibilities in this role will be: • Leveraging Cryptocurrency data and insights to produce deeply valuable and engaging written thought leadership and publications for Trading and Investment clients, • Liaising directly with end-clients to become an SME in what cryptocurrency insights Trading and Investment businesses are interested in, to feed into product development, • Using SQL and Python (Pandas) to pull and analyse Digital Assets and Cryptocurrency market data from different sources To be a successful applicant, you will need: • 3+ years commercial experience working in the DeFi / Cryptocurrency / Digital Assets space with strong exposure to the Investment Management / Trading industry, • An exceptional ability and proven experience of write engaging and thought-provoking research publications from financial asset insights (ideally digital assets), • Strong data manipulation and analytical experience with SQL and Python (Pandas) with a proven ability to derive insights from complex datasets, • Experience with Layer 1 and Layer 2 architectures as well as on-chain data tools (e.g. Nansen, Dune or Glassnode) If you feel your experience matches the above, please apply with an up-to-date copy of your CV in the first instance

Managing Engineer – Forward Deployed Level: Senior / Manager Location: London (hybrid, client-site as required) Salary: Up to £85,000 depending on experience About the Role Our client is a specialist data and AI consultancy focused on delivering real-world impact through advanced data platforms and AI. Now part of a global consulting organisation, they partner with major public and private sector institutions to solve complex, mission-critical problems. This is a leadership role within delivery. You will own client relationships, lead engineering teams, and be accountable for delivering high-impact data and AI solutions in live operational environments. The role combines hands-on engineering with team leadership and client advisory, with a strong emphasis on ownership, pace, and outcomes. What You’ll Be Doing • Owning end-to-end delivery of complex client problems, from architecture through to deployment, • Leading and managing a team of engineers, setting direction, maintaining standards, and driving output, • Designing and delivering data solutions across platforms, including low/no-code tooling and code-based approaches (Python, PySpark, SQL), • Overseeing the development of user-facing applications and workflows using TypeScript and React, • Acting as the primary client interface, shaping requirements and translating technical solutions into business impact, • Embedding AI capabilities into operational systems using modern AI tooling, • Driving iterative delivery cycles, ensuring rapid build, demo, and refinement loops with stakeholders, • Feeding project learnings back into internal product development to create reusable assets and IP, • Leading from the front in a collaborative engineering culture, contributing to knowledge sharing and capability uplift Ideal Background • 6+ years’ experience in software engineering, data engineering, or full-stack development, • Strong proficiency across multiple languages, including Python and SQL, with exposure to TypeScript and/or React, • Deep understanding of data engineering principles, including ETL pipelines, distributed processing, and data architecture, • Experience working in client-facing or consulting environments, with ownership of stakeholder relationships, • Proven ability to lead and develop engineering teams in delivery-focused settings, • Exposure to Palantir (Foundry, Gotham, or similar) or comparable data platforms is strongly preferred, • Strong communication skills, with the ability to influence senior stakeholders and simplify complex topics, • High level of ownership, accountability, and comfort operating in ambiguous, fast-moving environments What You’ll Receive • Ownership of high-impact projects across defence, public sector, and critical infrastructure, • Leadership responsibility with clear progression into more senior roles, • Exposure to cutting-edge data platforms and AI technologies, • A high-performance, low-ego engineering culture with strong collaboration and visibility, • Opportunities to shape internal products and contribute to long-term IP development, • Competitive salary, bonus, and benefits package Who Should Apply This role suits experienced engineers who have moved beyond individual contribution and are now leading teams and owning delivery. It is a strong fit for individuals who combine technical depth with client-facing capability and want to operate in environments where their decisions directly impact outcomes. A senior, client-facing engineering leadership role combining hands-on delivery, team management, and ownership of complex data and AI programmes in high-stakes environments.

Job title: Data Engineer This role is paying up to £80,000 p/a and is hybrid working in London. Must have insurance experience Role overview We are looking for a Data Engineer with strong technical skills and experience in the insurance sector to join a fast-paced data team. Key Responsibilities • Build and maintain scalable data pipelines (full ETL lifecycle), • Perform data cleaning, transformation, and integration, • Work with Microsoft Fabric, Notebooks, Python, and PySpark, • Manage and develop solutions using SQL Server and Cosmos DB, • Handle multiple data formats and support data processing workflows, • Collaborate closely with Data Engineering and Business Intelligence teams across onshore and offshore locations Requirements • Proven experience as a Data Engineer, • Strong skills in Python, PySpark, and Microsoft Fabric, • Experience with SQL Server and Cosmos DB, • Ability to design and deliver ETL pipelines, • Comfortable working in high-pressure environments Desirable • Insurance industry experience (ideally 2+ years), • Experience within insurers or carriers strongly preferred We are seeking a resilient, adaptable engineer who can thrive in a collaborative and fast-moving insurance data environment.

ABOUT US Onmo believes that everyone has the right to manage their money with confidence. Our vision is to bring better clarity, intelligence, and technology to Credit Cards, allowing our customers to understand their money, have more control and flexibility, and make the best financial decisions. We’re delivering that experience through a product our customers trust and rely on every day. We’re a young company with big ambitions and the resilience to see them through. We treat change as an opportunity, not a disruption, and we stay efficient and focused because we know that’s how ambitions turn into success. We have an incredible team in place. You’ll love working here if you believe that simplicity is the best strategy. ABOUT THE ROLE • Optimising Risk Adjusted Margin across all areas of the credit lifecycle from Onboarding to Collections. • Improving product offering, analyse customer friction areas and propose solutions incorporating business objectives and customer outcomes. • Define commercial strategy and continuously optimise it to grow the business while maintaining strong returns • Discover insights from data using tools like Python and SQL to find opportunities and optimise our strategy • Seek out novel strategies and commercial approaches we can take advantage of, • Obsess over competitor trends and our performance through our diverse acquisition channels, responding quickly to changes in the market • Collaborate cross-functionally with product, engineering, data, and our external partners to improve funnel performance • Monitor and assess the success of implemented strategies and continuously identify areas for improvement. ABOUT YOU • Daily coding experience, with proficiency in Python and SQL ideally, • Proven experience in credit risk or commercial strategy roles, ideally within consumer lending., • A strategic mindset and the ability to translate complex data into clear, actionable decisions., • A focus on delivering results that align with both commercial and customer needs., • A collaborative, open approach and a willingness to challenge your own assumptions FCA COMPLIANCE & CONSUMER DUTY At Onmo we all take collective responsibility for our individual roles in creating the best outcomes for our customers. In this role that involves; • Identifying and raising risk events in a timely manner when spotted, • Creating communications in line with Financial Promotion guidance, • Keeping up to date with changes in relevant regulatory rules, • Completing mandatory training within allotted deadline, • Following the FCA Conduct Rules; o You must act with integrity o You must act with due skill, care and diligence o You must be open and cooperative with the FCA, PRA and other regulators o You must pay due regard to the interests of customers and treat them fairly o You must observe proper standards of market conduct

A leading global asset manager is seeking to hire a Fund Reporting Analyst to join its London-based reporting team. This is a high-impact role within a business known for its institutional client base, strong investment performance, and focus on innovation. The Opportunity You’ll be responsible for delivering high-quality fund and client reporting, while supporting the evolution of reporting capabilities through automation, data transformation, and modern technology. This role offers strong exposure to investment and distribution teams, with the opportunity to directly influence reporting quality and client experience. Key Responsibilities • Produce accurate, timely fund reports, presentations, and marketing materials, • Take ownership of end-to-end reporting processes and stakeholder delivery, • Drive improvements in reporting efficiency, scalability, and quality, • Support reporting transformation initiatives, including system and data migration, • Partner with internal teams to enhance reporting output and client insight, • Identify opportunities to automate and streamline reporting workflows Key Requirements • Experience in fund or client reporting within asset management, • Strong understanding of Fixed Income and Multi-Asset products, • Excellent analytical and problem-solving skills with high attention to detail, • Ability to present complex investment data in a clear, client-friendly format ⚠️ Technical Skills (Essential) • Advanced SQL – REQUIRED (core, hands-on part of the role), • Advanced Excel and PowerPoint, • Experience with reporting tools / data platforms (e.g. Snowflake, Tableau) highly desirable, • Python and interest in automation / AI tools a strong advantage Why Apply? • Join a high-performing, global investment firm, • Work on cutting-edge reporting transformation initiatives, • Gain exposure to front office, clients, and senior stakeholders, • Be part of a team driving automation and innovation in reporting

We are seeking a Technical Trainer to lead impactful training programs across cutting-edge technologies, with a strong focus on Starburst, Dell Data Lake solutions, and Data Warehousing frameworks. This role plays a critical part in our AI & Data Practice, helping clients and internal teams gain the technical knowledge and practical skills needed to harness the full potential of their data architecture. You will contribute directly to our Training Academy’s mission: enabling organizations to implement and scale AI and data technologies — including cloud-native analytics, distributed SQL engines, and unified data lake strategies — to drive meaningful business outcomes. 1. Training Development · Design and develop high-quality training programs focused on Starburst, Dell Data Lakes, and Data Warehousing architectures. · Create engaging, hands-on materials such as labs, case studies, presentations, learning content that support enterprise data analytics adoption. Inline with directives given by line manager · Ensure training material is tailored to a wide range of audiences, from data engineers to business analysts. 2. Training Delivery · This is a not traditional teaching/ training this is facilitation, so it is critical to deliver workshop style interactive facilitation experiences that centre around your attendees. · Deliver live, virtual, and hybrid training sessions that promote hands-on exploration of Starburst and Data Lake environments. · Tailor instructional methods to suit technical and non-technical audiences; apply real-world scenarios from data warehouse modernization and lakehouse integration. 3. Training Evaluation · Actively seek feedback from participants and input from team members to ensure your content and deliver is always the best it can be · Use feedback and learner analytics to refine future training experiences and drive continuous improvement. 4. Innovation & Alignment · Stay up to date with advancements in AI, data lakes, data warehouse technologies, and distributed query engines like Starburst. · Collaborate with the wider AI & Data team to align training strategies with organizational goals and emerging data platforms. · Integrate new methodologies, tools, and technologies to enhance training delivery and learner engagement. Ideal Candidate Profile Successful Trainers Will Be Able To: · Lead training initiatives involving modern data architectures, including Dell ECS/Elastic Data Lakes, Starburst Presto/Trino, and cloud-based data warehouse solutions. · Facilitate hands-on sessions that allow learners to work with distributed SQL engines and query federated data across hybrid environments. · Translate complex AI and data ecosystem concepts into accessible, role-relevant learning paths. · Utilize tools and techniques for interactive virtual learning: whiteboarding, simulations, and interactive exercises that mirror real-world data workflows. Skills and Experience Required · Proven experience designing and delivering technical training, to both technical and nontechnical users ideally within a software vendor, data platform provider, or cloud services organization. · Strong knowledge of data engineering, AI/ML fundamentals, and data platform architecture. · Experience with or exposure to Starburst, Dell Data Lakes, and Data Warehousing technologies (e.g., Snowflake, Redshift, BigQuery). · Excellent communication and presentation skills, capable of breaking down complex topics into actionable insights. · Organized, adaptable, and confident delivering training across time zones and cultures. · Willingness to travel occasionally to client sites or training hubs

Job Description Join as a visionary Full Stack Developer, leading transformative development with integrated solutions across front and back-end, bridging the technology-business gap and shaping the future with innovative user experiences. Join as a Full Stack Developer and lead transformative development, crafting innovative solutions across front and back-end with integrated services and APIs. Embrace your leadership role, creating conceptual architecture to meet precise client needs, while bridging the technology-business gap with exceptional communication. Elevate your career in this dynamic journey of Full Stack Development, shaping the future and making a lasting impact on clients. Together we do what matters. Key responsibilities • Analyze, design, develop, implement and maintain application code in a variety of contexts, • Use .NET and Azure ecosystem to build scalable applications which power modern framework-driven web apps., • Build and automate the features and services that model complex business problems, power enterprise-scale systems and drive innovative user experiences, • Implement APIs and Microservices through database design, data access and ORMs and consume said APIs to build feature-rich applications, • Develop scalable and cloud-based solutions, with consideration to security and performance, • Harness modern development and Azure DevOps practices including CI/CD, containerization, automated testing Job Qualifications Habilities and experience • Programming: C# / .NET, JavaScript/TypeScript, • Service Development: building web applications and web APIs using .NET and cloud services, • Cloud: Azure and others, • Database: (worked with one or more of) SQL Server, Azure SQL, Entity Framework, CosmosDB, • Design & Style: HTML5, Responsive/Adaptive Design, CSS3, Bootstrap, • Frameworks: (Worked with one or more of) Angular, React, NodeJS, Vue.js, or equivalent JavaScript, • DevOps: Git, Azure DevOps, GitHub, • Nice to haves: Azure AI Foundry, Semantic Kernel or Autogen Sponsorship would not be provided - Kindly email your CV to me at -

🚀 Technology Solution Architect | Leading International Law Firm | London (Hybrid) | £80,000 - £120,000 I’m currently working with a leading international law firm who are looking to hire a Technology Solution Architect to join their growing Architecture function. This is a fantastic opportunity to join a highly respected Technology team where architecture is central to the firm’s strategy. Technology is heavily invested in and plays a key role in enabling complex legal work, global operations, and ongoing digital transformation. You’ll be joining a small, high-impact architecture team (3 people total) working directly alongside the Head of Architecture, with excellent visibility across both technical and business stakeholders. This role will suit someone who enjoys hands-on solution design, complex integration challenges, and working closely with senior stakeholders in a fast-paced, collaborative environment. Communication is absolutely critical - you must be confident translating complex technical designs into clear, simple language for both technical teams and senior non-technical audiences. The Role As a Technology Solution Architect, you will be responsible for designing and delivering end-to-end enterprise solutions aligned to architecture standards, security principles, and business objectives. You’ll work across multiple domains including cloud, data, infrastructure, and application teams to ensure solutions are scalable, secure, and supportable. Key responsibilities include: • Designing end-to-end technical solutions across enterprise platforms, • Producing HLDs, LLDs, and architecture documentation, • Defining APIs, integration patterns, and data flows, • Working closely with delivery teams through build and implementation, • Ensuring alignment with enterprise architecture standards and governance, • Supporting technology selection and build vs buy decisions, • Defining and validating non-functional requirements (performance, scalability, resilience, security), • Producing architectural decision records (ADRs), • Engaging and influencing senior stakeholders across the business, • Collaborating with cloud, data, security, and engineering teams Tech Environment • Microsoft Azure (App Services, Functions, Service Bus, APIM), • SQL Server, • Enterprise integration platforms & APIs, • CI/CD pipelines & DevOps practices, • Modern enterprise architecture tooling Experience with legal platforms such as iManage, Aderant, Intapp (or similar enterprise systems) is highly desirable. What They’re Looking For Essential: • Experience in Solution Architecture, Technical Design, or Senior Engineering roles, • Strong integration architecture background (APIs, messaging, system design), • Azure cloud experience, • Strong understanding of security, scalability, and resilience principles, • Experience in complex enterprise environments, • Excellent communication and stakeholder management skills, • Ability to clearly explain technical solutions to non-technical audiences, • Legal sector experience (preferred), • Professional services or regulated industry experience (FS, insurance, consulting, etc.), • TOGAF or equivalent architecture framework, • Azure certifications, • Exposure to EA tools (Ardoq, LeanIX), • AWS exposure (beneficial but not essential) Additional Information • Hybrid working (2–3 days per week in London), • Highly collaborative, high-performing technology environment, • Strong exposure to senior stakeholders and decision-makers, • Opportunity to help shape architecture capability within the firm, • Open to candidates with longer notice periods for the right person Interested? If you’re interested in joining a leading, forward-thinking law firm with a strong technology focus, please send me a message with your CV or email it directly to:

Responsibilities 1. Operational data analysis for international shared services: Understand the operational processes of shared services, comprehensively monitor key performance indicators, promptly detect data fluctuations and conduct in-depth root cause analysis, swiftly identify business anomalies and risk points, and provide solutions;, 2. Aggregate international business data: Map existing core operations and product lines across international business units, master current data storage methods and logical frameworks, consolidate international business data, promptly detect fluctuations and conduct root cause analysis;, 3. Analyse international cash flow statements: Collaborate with Treasury and Accounting teams to understand JD's capital operations and data sources, produce international cash flow analysis and forecasts, continuously refine and enhance predictive models;, 4. Expense Analysis: Collaborate with Procurement to understand JD.com's procurement classifications and data sources, conduct international expense analysis, promptly detect data fluctuations, and conduct in-depth root cause analysis., 5. Data Dashboard Development: Work with the IT Department to transform the above analyses into data dashboards., 6. Complete ad hoc data analysis tasks assigned by management. Qualifications 1. Full-time bachelor's degree or higher, with 3+ years' experience in financial operations data analysis at large internet companies or multinational corporations;, 2. Proficiency in SQL/Hive and other data languages, with fluent use of Microsoft Office (Excel, PowerPoint, Word);, 3. Strong logical reasoning, resilience under pressure, data analysis skills, and ability to gather, organise, and synthesise information;, 4. Excellent communication skills within and across teams, willingness to embrace challenges, ability to thrive under pressure, and capacity to deliver tasks efficiently within tight deadlines;, 5. Demonstrated capability in resource integration and project management.

COMMODITY MARKET RISK ANALYST – STRUCTURED PRODUCTS Exciting opportunity to join a leading Global Commodity Trading company . The role will be based in their London office . A dynamic company who offer rapid learning opportunities with potential for movement across teams and international roles. Main responsibilities: • Preparing and reviewing daily P&L and risk reports, monitoring limits, and proactively resolving any issues in coordination with the relevant teams . • Support front office in obtaining approval for new and non-standard products. • Assisting in identifying significant risks within the business and ensuring they are transparent to senior management., • Provide information and commentary for the bi-weekly Risk Committee meetings., • Review and approve any relevant changes to the main ETRM system (Endur)., • Guarantee compliance for trading procedures with relevant controls and support when necessary internal and external audit requests., • Participate in the enhancement of reporting and the development of reporting systems. Skills and experience required: • University degree in a numerate discipline (e.g. economics, mathematics, pure science, finance, engineering or similar)., • Relevant experience in a market risk role within commodity trading companies or banks., • Strong Knowledge of risk metrics such as VaR, stress-testing, scenario analysis., • Good knowledge of derivatives and options., • Strong knowledge of MS Office suite including Excel and VBA. SQL and Python would be a strong advantage., • Knowledge of the Endur ETRM system would be an advantage., • Analytical mindset and strong numerical skills., • Strong organization skills with good attention to detail and the ability to work to tight deadlines. • Strong communication skills, able to communicate concisely with senior management in the market risk function and with all stakeholders., • Fluent level of English.

ETRM Business Analyst – x-train into Endur (v25) – London based Commodity Trading House World leading commodity trading house seeks a bright and dynamic permanent ETRM Business Analyst to join their Central London Global HQ working on their Endur v.25 Global upgrade project. • Company: Global Commodity Trading House, • Role: ETRM Business Analyst (with strong ETRM and data analytics experience) Skills sought: • 3 years+ ETRM business analysis experience working on any 3rd party/external ETRM system or an in-house system, • This role is focused on Gas & Power Trading but you could have worked on any commodity (Gas, Power, Oil, Metals, Ags, Softs, LNG etc), • Any experience or exposure to Endur ETRM (any version) would be useful but this can be learnt, • Previous data analytics experience, with any experience of KAFKA (data messaging system) being useful, • Strong SQL skills, • Strong academics, including a bachelor’s degree (or above) from a leading university, • You will need a British or Irish passport or a visa allowing you to live and work in the UK as my client won’t sponsor visas, • Location: 3 days per week working out of their Central London HQ, with 2 days flexi working (working from home), • Salary: £50-80k basic + bonus + benefits This is a fantastic opportunity for a very bright ETRM Business Analyst who will have gained some good experience working either for a rival commodity trading house, E/CTRM software vendor or E/CTRM services consultancy. You will be: • Keen to work for a leading global trading house, • Working on the latest release of Endur (v25), • Working on a global upgrade project, • Working closely on this initial project with an Endur guru/expert who will mentor you (if needed), • It’s unusual for a leading trading house to offer such xtraining into Endur, which is very much the in-demand E/CTRM system that most of the major commodity trading houses use This role is looking for a superstar though, so someone with very strong academics, good ETRM BA experience, some SQL skills, some data analytics experience, but looking for a career move where they can develop a long term career including working on Endur v25. For more information, please e-mail through an up-to-date CV to Ben at

London headquartered credit fund is seeking a talented and driven Risk Analyst to join its credit platform. This is a compelling opportunity to apply a broad range of risk management skills within a highly sophisticated investment environment, with exposure spanning private corporate credit as well as liquid credit and equity strategies. Reporting directly to the Risk Manager responsible for both liquid products and private corporate credit, the successful candidate will play a key role in supporting oversight of this business. This position offers clear progression, with the potential to develop into the lead risk manager for this growing area. Key Responsibilities • Analyse and monitor private debt transactions, identifying key risks and presenting insights to senior leadership., • Represent Risk Management at the Preliminary Investment Committee., • Review and challenge valuation papers prepared by the investment team., • Monitor market developments and assess emerging risks., • Identify, measure, and analyse risk and P&L exposures across relevant portfolios., • Produce ad hoc, market-focused risk reports for senior stakeholders., • Collaborate with IT to enhance risk systems, including sourcing and validating data for new instruments., • Contribute to the development of new analytics to improve investment risk transparency for portfolio managers and senior management. Candidate Profile • Experience in risk management preferred; candidates from M&A, private asset valuation, or accounting backgrounds will also be considered., • Strong experience analysing private credit and/or equity transactions, with the ability to assess companies within industry and peer group contexts., • Solid understanding of valuation methodologies for private debt and equity., • Knowledge of the regulatory framework for Alternative Investment Funds., • Excellent communication skills, with the ability to engage effectively across front office, senior management, investors, regulators, and IT teams., • Proficiency in data analysis and visualisation tools (e.g., Tableau), with the ability to present complex information clearly., • Strong technical skills, including familiarity with VBA, Python, and SQL., • Ability to build constructive relationships with investment teams while maintaining independence and challenge.

Senior Data Analyst (Commerical) London Hybrid | SaaS / Growth Environment | Up to £100k I’m currently supporting a growing software business on a key analytics hire supporting leadership decision-making across finance and commercial performance. The role would suit someone who enjoys working closely with senior stakeholders and can combine strong technical analytics capabilities with commercial thinking and clear communication. This position is less about producing dashboards in isolation and much more about helping leadership teams understand what is happening across the business, why it is happening, and where attention should be focused. The environment is fast-moving, data-driven and commercially focused, with a strong emphasis on recurring revenue performance and strategic growth metrics. What they’re looking for: • Strong SQL capability, • Experience using Power BI in a commercial environment, • Exposure to Snowflake or modern cloud data platforms, • Strong understanding of SaaS / subscription metrics, • Experience supporting finance or commercial reporting, • Comfortable working with senior stakeholders, • Ability to explain complex findings in a simple and confident way The role will involve: • Analysing financial and operational performance trends, • Supporting leadership reporting and strategic reviews, • Building scalable reporting and insight workflows, • Working across finance, data and operational teams, • Helping improve consistency and quality of business reporting, • Identifying trends, risks and commercial opportunities within the data The ideal background would likely include: • SaaS or subscription businesses, • Scaleup or high-growth environments, • Commercial analytics/revenue analytics / BI, • PE-backed exposure beneficial, • Consultancy or Big 4 training beneficial but not essential Hybrid working with flexibility, though candidates should be London commutable for stakeholder sessions and planning meetings. If this sounds of interest, please apply for more information

Senior Engagement Analytics Consultant Hybrid in London 2x a week Up to £120,000 + bonus This is a high impact opportunity to join a growing analytics consulting practice at a pivotal stage of its development. You will take a lead role in shaping client engagements, influencing senior stakeholders and helping build a modern, commercially focused analytics advisory capability. The role offers strong visibility, meaningful client ownership and a clear path into practice leadership as the team scales. The Company They are a global data and analytics organisation operating at the intersection of financial services, technology and insight. The business works with banks, fintechs and payments organisations to help them make better decisions across risk, growth and customer strategy. Alongside established data products, they are investing heavily in an end-to-end analytics consulting offering focused on delivering tangible commercial outcomes. This consulting practice operates as a true advisory partner, translating complex data into action. The Role • Lead end to end delivery of analytics driven consulting engagements from problem definition through to insight and implementation., • Act as the primary client contact, building trusted relationships with senior stakeholders across financial services., • Translate complex analytical outputs into clear, compelling commercial recommendations., • Shape project scope, approach and delivery in collaboration with analytics and data science teams., • Drive commercial activity including pitches, proposals and contribution to practice growth., • Work across a range of use cases including credit risk, fraud, customer acquisition, pricing, segmentation, marketing and collections. Your Skills and Experience • Strong commercial experience in analytics or data led consulting within financial services, fintech or payments. You must have strong and direct experience working in the financial services space., • Proven client facing delivery with senior stakeholder management and project leadership responsibility., • Ability to turn analytical insight into strategic and commercial outcomes., • Experience across credit risk, fraud, customer lifecycle or customer value analytics., • Confident communicator, able to engage both technical and non technical audiences., • Hands on experience working with data or analytical tools such as SQL, Python, modelling or visualisation., • Background in a high calibre consulting or advisory environment. What They Offer • High visibility role with genuine progression into senior leadership as the consulting practice grows., • Opportunity to work on complex, high value engagements with leading financial services organisations., • Supportive, inclusive culture with strong investment in learning and development. How to Apply Apply now to learn more about this Senior Engagement Manager opportunity and how it could shape the next stage of your analytics consulting career.

Why Join? ✨ Work on high-impact Data & AI consulting projects across multiple sectors. ✨ Collaborative, people-first environment with strong growth trajectory. ✨ Direct exposure to senior clients + strategic transformation work. ✨ Training budget, mentoring & clear career development pathways. ✨ Hybrid working (UK-based) + client-site opportunities. ✨ Competitive package (30 days holiday, pension, performance rewards). Who We’re Looking For: We’re hiring an Analyst / Senior Analyst (1–2 years’ experience) with a background in analytics, BI, or consulting. If you’re curious, proactive, and passionate about turning data into insight, this is for you. What You’ll Do • Build dashboards & reports (Power BI, Tableau, Excel), • Automate workflows (SQL, PowerApps, Alteryx, Azure), • Translate complex data into clear, actionable recommendations, • Support transformation projects (process mapping, change management), • Contribute to proposals, pitches, and thought leadership, • Bring AI-led improvements into client work & internal delivery Key Skills ✅Ideally 2:1 degree (STEM, Economics, or related) ✅ 1–2 years in analytics, BI, or consulting ✅ Strong data storytelling & problem-solving skills ✅ Proficiency in Power BI / Tableau + advanced Excel ✅ Exposure to SQL, Alteryx, Azure or PowerApps (a plus) ✅ Adaptable, collaborative, and growth-minded 🚀 This is your chance to join a growing Technology, Data & AI practice at a pivotal stage. If you’re ready to make an impact, let’s talk. Please note: At this time our client is unable to offer visa sponsorship. Applicants must have the right to work in the UK.

We are seeking an Insurance Business Architect to provide strategic solutions to business problems that meet requirements defined by our customers. You will bridge the gap between complex insurance business needs across Life, General, and Health lines and the technical configuration of the INSIS platform. This is not just a requirements-gathering role; you will be a hands-on solution expert describing the structure of the business solution and ensuring its seamless fit within the wider business structure and project workflows. Your objective is to translate client processes into high-quality user stories and configured solutions, ensuring the maximisation of standard platform capabilities. Also, you will participate in the recommendation and selection of the functional solution stack, frameworks and platforms to solve the customers’ requirements. Key Responsibilities • Define end-to-end Insurance business solution architecture., • Lead requirements workshops and write clear, testable user stories for configuration, customization, and others., • Define solution requirements, key features of the solution, and phases of implementation., • Continuously researches emerging business technology solutions and proposes changes to the existing business solution architecture., • Analyze the impact of the business solution on the state of the business' goals and direct outcomes of solution implementation., • Analyze and map client business processes to system modules, including Product Configuration, Quoting/Issuing, Policy Administration, Billing and collections, and Claims., • Communicate and validate requirements with relevant stakeholders., • Configure products and rules in INSIS application and configurator., • Guide Business Analysts activities, support testing activities., • Support the functional requirements estimation., • Validate and document the solution requirements., • Develop the solution’s proof of concept to show that a feature can fit in the customers’ environment. Required Skills • Bachelor’s Degree or equivalent., • Proven experience in Insurance Business Architecture., • 7+ years’ experience in industry standard Policy Admin System., • Experience in business analysis and software architecture design., • Deep analytical skills to see the connections between layers of business operations., • Knowledge of RDBMS concepts and database design in Oracle., • Knowledge of PL/SQL and querying data from Oracle database., • Knowledge in Project Management best practices., • Experience working in an Agile development environment., • Good interpersonal skills to interact with clients and team members.

Our client is a leading tech-driven quant and systematic hedge fund trading with offices across the globe. They leverage deep knowledge in data, research, technology and trading to deliver high-quality returns in a dynamic and fast-paced environment, with excellent opportunities for career growth. Looking for a motivated Python Quant Developer to work within a trading desk alongside Quant Researchers and Traders where you will have a direct & immediate impact on the desk's success. Your primary focus will be building applications to provide market data & insights to inform trading decisions. This role offers exposure to many aspects of volatility trading, including derivatives pricing, data management and analytics structure (cloud computing and ML technologies). The ideal candidate is tech-driven, with experience developing trading apps and/or setting up trading framework. Requirements • 1-3 years' professional experience, likely at a bank or a fund, • Comfortable in Python, in particular Python libraries: numpy, pandas, matplotlib, etc., • Proficient with AWS, • Good knowledge of SQL and relational databases, • Available to start immediately, • Great opportunity to be part of a collaborative, creative environment where you can feel valued for your input, • Competitive salary + generous benefits, • Professional and personal development, • Relaxed, casual culture, with a healthy work-life balance Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If you feel you are a strong match for this role, please do not hesitate to get in touch: Dominic Copsey +44 (0) 203 475 7193 linkedin.com/in/dom-copsey-586478143/

The treasury team is responsible for all aspects of treasury risk management and operations including; liquidity management, cash management, FX and IR risk management, interest allocation, collateral management and bilateral margining. The treasury department is a team-based environment that values interaction and exchange of ideas and techniques and is a huge advocate of continuous improvement. The flat team structure supports access to all levels of management across the organisation in order to ensure that analysis and judgements are comprehensive and complete. The junior treasury analyst will be responsible for performing the daily margining processes for the group. Role Description • Process margin call payments and receipts, • Ensuring collateral balances are correctly reflected within CubeLogic (margin management system) and have close communication with the collateral team., • Liaison with external counterparties to resolve margin disputes, • Liaison with the credit team to ensure credit risks are covered., • Liaison with other internal stakeholders including IT and transactions teams., • Processing of Margin Interest receipts and Payments., • Producing daily and monthly reporting relating to operational activities, • Project work on process improvement and automation, • Understanding of systems, position management and MtM valuation processes., • Use business and commercial awareness to proactively seek solutions., • Understanding of treasury products to assist with risk management., • Preparation of reports, • Adherence to internal policies, processes and methodologies. Role Requirements • Strong analytical, attention-to-detail and organisational skills with focus on time management under tight deadlines., • Confident and autonomous individual being able to provide good communication/feedback to manager, motivated and resilient., • General financial and risk management awareness., • Genuine interest in pursuing a career in treasury., • Studied or willing to learn - ACT / Accounting or equivalent professional qualification would be an advantage., • A proactive ‘can do’ attitude is important, as is the ability to use initiative to appraise and improve existing processes. Strong interpersonal skills are essential., • Excel, Python, SQL, or Alteryx knowledge is preferable, • Visualisation tools such as Power Bi or Tableau

At a Glance: 📣 Position: Business Analyst 👫 Team: Commercial Growth 📍 Location: London, UK 📄 Contract: Full-time 🏢 Type: On-site 💷 Benefits: Competitive package with performance-based incentive About Us 🥇 Winnrz is the UK’s first and only Shop & Win platform — blending commerce, entertainment, and rewards to create a new kind of consumer experience 🎉. As we scale, data and insights are critical to how we make decisions, optimize performance, and unlock growth. We’re looking for a Business Analyst to support strategic decision-making and drive performance across the business. Role Description 📝 We are seeking a sharp, data-driven, and commercially minded Business Analyst to turn data into insights and insights into action. You’ll work closely with marketing, product, and commercial teams to analyze performance, identify opportunities, and support growth initiatives. This role is ideal for someone who enjoys being hands-on with data while contributing to real business outcomes. What You’ll Be Doing ✅ • Analyze business performance across marketing, product, and operations., • Build dashboards, reports, and models to track key metrics and KPIs., • Identify trends, opportunities, and inefficiencies to drive improvements., • Support decision-making with data-driven insights and recommendations., • Work closely with performance marketing teams to evaluate campaigns and ROI., • Analyze customer funnels, conversion rates, and user behavior., • Support forecasting, planning, and business case development., • Collaborate with cross-functional teams to implement data-backed strategies. Skills & Qualifications 🧩 • 6–8 years of experience in business analysis, data analysis, or strategy roles., • Strong analytical skills with proficiency in Excel and SQL., • Experience with BI tools (Tableau, Power BI, Looker, or similar)., • Understanding of performance marketing, attribution, and funnel metrics., • Ability to translate data into clear, actionable insights., • Strong problem-solving mindset and attention to detail., • Experience in e-commerce, marketplaces, or consumer tech is a plus. The Process ➡️ 1️⃣ Initial screening with HR 2️⃣ Interview with Strategy / Growth Team 3️⃣ Case study / analytical task 4️⃣ Final interview with Leadership ⏱️ Process typically concludes within 4–6 weeks Why Join Winnrz ⁉️ At Winnrz, data is at the core of how we grow. You’ll be part of a fast-moving team where your insights directly influence strategy, performance, and business outcomes. If you’re excited about solving real business problems with data and being close to execution — this is your opportunity 🚀.

We are looking for a Python Developer with strong experience in trading and risk management systems within investment banking. The role involves building backend applications and data processing logic supporting risk calculations, trade workflows and reporting. Key Responsibilities • Develop and enhance Python-based applications for trading and risk use cases, • Build data processing pipelines and automation scripts for trade, risk and reconciliation workflows, • Work with large financial datasets to support PnL, risk and reporting requirements, • Contribute to system design, architecture and scalability decisions, • Collaborate with quants, traders and risk teams to translate business requirements into technical solutions, • Develop and integrate REST APIs and backend services, • Contribute to CI/CD pipelines and deployment processes, • Support production systems (L2/L3) including debugging, enhancements and performance optimization, • Write and maintain unit and integration tests. Ensure high code quality and test coverage, • Participate in code reviews and mentor junior developers where required Must-Have Skills • Strong experience in Core Python development (6–10 years), • Strong SQL skills with ability to handle complex queries and large datasets, • Experience with Python libraries (Pandas, NumPy) for data processing, • Experience building RESTful APIs/services (Flask / FastAPI / Django), • Strong understanding of data structures and performance optimization, • Experience working with large-scale data processing and performance optimization, • Working knowledge of Unix / Linux environments and basic shell scripting Domain Experience (Critical) • Experience working in Investment Banking / Capital Markets environments, • Hands-on exposure to:, • Market Risk / CCR / PnL / Trade lifecycle / Reconciliation, • Understanding of financial products such as:, • Derivatives (swaps, futures, options), bonds Good-to-Have • Exposure to PySpark or large-scale data processing, • Experience working with quants or pricing models, • Basic scripting (Unix / Bash)

Consultant Credit Risk Analytics Location London with hybrid working three days in the office Salary 50000 to 60000 plus bonus No sponsorship available We are looking for a Consultant level Credit Risk Analyst to join a growing team in London working on high impact projects within financial services. This role would suit someone with around two to four years of experience ideally within a banking environment with a good understanding of credit risk frameworks and the regulations that support them. You will be comfortable working with data and turning analysis into clear business insight. Responsibilities Analyse large datasets to support credit risk decision making Contribute to risk modelling regulatory reporting and portfolio analysis Work with stakeholders across risk finance and data teams Develop dashboards and visualisations to present insights clearly Support adherence to credit risk regulations and governance frameworks Requirements At least two years of experience in credit risk ideally within a bank or financial institution Strong understanding of credit risk principles and the regulatory environment Strong SQL skills and ideally some experience with Python Experience using Power BI or Tableau A degree in a STEM subject such as Mathematics Statistics Economics or Engineering Strong analytical and communication skills What is offered Salary of 50000 to 60000 plus bonus Hybrid working with three days in a London office Exposure to meaningful data driven projects A collaborative and supportive team environment If you are looking to develop your career in credit risk within a dynamic environment we would like to hear from you.

Position: Data Analyst / £70k + 10% bonus Industry: London insurance market Workplace: 2 days a week in the office - Central London Our client are a leading insurance broker in the city of London. If you're a Data Analyst with experience in the London Insurance Market, please apply. You can 📧 your cv to or message me on LinkedIn. What do we need? 🤔 We need you to have credible knowledge of the London Market as a Data Analyst. You'll need strong Power BI, SQL and MS Fabric experience. One of the 🔑 bits to this role is that you have experience of modern methods of working, ideally with experience in an Azure environment. Tech environment: MS Fabric Azure / DevOps / Automation Policy Admin Power BISQL ServerETL - Modelling Data Factory - Integration tool Azure SQL DB You'll be joining a company who are one of the largest 💪🏼 in the Lloyd's insurance market and a Data Practice that is growing exponentially, here in the UK and Australia. If this is good timing and you're keen to see the full position description, please do get in touch ☎️ I look forward to hearing from you. #dataanalyst #fabric #powerbi #sql #azure #londonmarket #insurance #data #london

Alexander Barnes is leading the search for a Fraud Prevention Lead, Identity & Account Security for one of the fastest growing FinTechs globally. This role owns identity-linked fraud prevention across a large-scale digital banking and payments environment. The scope includes: • Account Takeover and credential abuse, • Authentication and login attacks, • Session hijacking and identity theft, • APP-linked account compromise, • Behavioural and device anomalies, • Mule and coordinated abuse patterns You’ll own fraud detection and prevention across onboarding, authentication, account lifecycle, and transaction flows. The focus is real-time decisioning, behavioural detection, fraud signals, authentication controls, and scalable prevention systems. The team is looking for someone with deep hands-on experience across ATO, Identity Abuse, Authentication Risk, Credential Fraud, Trust & Safety, or behavioural fraud prevention. Strong understanding of: • Behavioural analytics, • Device intelligence, • MFA and recovery flows, • Velocity frameworks, • Rules and model-driven detection, • Fraud decisioning systems Strong SQL and Python capability is expected. The environment is highly technical and highly cross-functional, working closely with engineering, ML, data science, product, and fraud teams to build scalable fraud prevention systems at platform level.

Head of Growth Marketing, London, Hybrid, c. £80K Set the standard. Stay hands-on. Drive real growth. This isn’t a top-line strategy role. You’ll be in the detail — shaping strategy, fixing what’s broken, and raising the bar across a portfolio of ambitious clients. This is for someone who understands how growth actually works today — across channels, creative, data and AI — and can prove it. What you’ll own • End-to-end growth strategy across multiple client accounts, • Paid, SEO, lifecycle, influencer + programmatic working as one system, • Mobile UA strategy (MMPs, post-IDFA, SKAN, creative testing), • Conversion tracking at a technical level (GTM, GA4, server-side), • Experimentation, attribution and reporting frameworks, • AI adoption across creative, media and scaling output, • Team leadership — setting standards, developing talent, raising performance What you bring • 7–12+ years in growth / performance marketing, • Strong agency or multi-account experience, • Deep technical capability (tracking, data, SQL, analytics), • Real understanding of creative + culture, not just channels, • Experience scaling mobile growth in a post-IDFA world, • Already using AI in a meaningful way, • Hands-on operator who still enjoys being in the work Why this role • High ownership, high expectations, • Direct access to founders and senior leadership, • Work with ambitious brands that want to scale fast, • Real influence on how a modern growth agency is built If you’re still hands-on, commercially sharp, and know how to scale — this is worth a conversation. Get in touch on

Senior Pricing / Revenue Manager About the Role Our client is seeking a Senior Pricing / Revenue Manager to join a high-performing commercial function focused on driving sustainable growth and maximising profitability. This role sits within a central revenue management team responsible for optimising key commercial levers such as pricing, payment structures, and cancellation policies. Key Responsibilities • Analyse internal performance trends across key metrics (e.g. Margin per Transaction, Conversion Rate, Trading Margin), identifying drivers and actionable insights., • Assess competitor propositions and broader market dynamics to enhance pricing strategy and commercial positioning., • Identify and quantify opportunities to unlock revenue growth while improving margin performance., • Design and run robust experiments to optimise pricing, packaging, and revenue levers., • Collaborate with cross-functional commercial teams to influence wider trading and merchandising strategies., • Partner with Product, Engineering, and Data teams to develop scalable, best-in-class pricing and packaging systems., • Present performance updates and strategic recommendations clearly to senior stakeholders. Required Experience & Skills • Proven experience developing and executing revenue management or pricing strategies in a fast-paced, data-driven environment., • Strong numerical and analytical capability, with solid commercial and financial acumen., • Experience in data modelling and translating complex analysis into clear business recommendations., • Excellent communication skills, with the ability to influence stakeholders across multiple functions., • Highly structured and detail-oriented, with strong organisational skills., • Collaborative mindset with a proactive, hands-on approach. Desirable Experience • Exposure to travel, e-commerce, or similarly complex, inventory-based industries., • Familiarity with analytical tools such as:, • Data visualisation platforms (e.g. Looker), • SQL (e.g. BigQuery environments), • Programming (e.g. Python, GitHub), • Knowledge of statistics and experimental design methodologies. Additional Information This is an opportunity to play a key role in shaping and scaling revenue management capabilities within a rapidly evolving commercial environment.

• Central London location – 3-5 days on site p/week, • Up to £80k DoE plus bonuses, • Active MoD DV clearance required, • Experience required in Python, SQL, and ideally Palantir Overview Our client is a secure-sector SME consultancy based in Central London who are looking to bring an experienced Security Cleared Data Engineer into their growing technical team. You will be working on sensitive, mission-critical programmes, designing and delivering robust data solutions in a highly regulated environment. This is an excellent opportunity for a Data Engineer who enjoys working in small, high-impact teams, close customer-facing consultancy, and wants exposure to modern data platforms and tooling. Required Skills & Experience • Proven commercial experience as a Data Engineer, • Strong development skills in Python, • Advanced SQL skills with experience working on complex datasets, • Experience with core data engineering tools and technologies (e.g. ETL/ELT pipelines, data warehouses, orchestration tools), • Strong understanding of data modelling, data quality, and performance optimisation Desirable Experience • Experience with Palantir (Foundry, Gotham), • Willingness and aptitude to learn Palantir technologies on the job, • Background working in defence, government, or other highly regulated environments, • Exposure to cloud platforms and modern data architectures Apply If you’re a DV Cleared Data Engineer with strong Python and SQL experience and an interest in working with Palantir, please apply with your latest CV.

🚀 Data Scientist – Solar, BESS & Emerging Energy Tech 📍 London (Hybrid) I am looking for a Data Scientist to join a fast-growing clean energy developer working across solar PV, battery energy storage (BESS), and next-generation energy technologies in the UK. This is not a typical entry-level role, you’ll be embedded in a high-impact engineering and development team, applying data science to projects that directly influence how energy is generated, stored, and distributed. 🌍 About the Company A dynamic and rapidly scaling clean energy developer with a multi-gigawatt pipeline of solar and battery storage projects across the UK. The team has a strong track record of delivering projects from concept through to consent. You’ll be joining a close-knit, entrepreneurial team where your ideas are heard, your work has visible impact, and your career can accelerate quickly. The business is also exploring emerging areas such as data centres and onshore wind, offering exposure beyond traditional renewables. 🔧 What You’ll Be Doing • Build and maintain geospatial screening tools to identify and rank development sites, • Develop energy market models & revenue forecasts for solar and BESS projects, • Create dashboards and automated reporting tools to track performance and pipeline progress, • Work with large, complex datasets (grid, weather, project data), • Support engineering teams with power systems analysis and statistical modelling, • Apply machine learning techniques for yield prediction and optimisation, • Contribute to technical reports, planning submissions, and investor materials ✅ What We’re Looking For • Strong Python skills (pandas, NumPy, scikit-learn, matplotlib), • Experience with SQL and relational databases, • Exposure to geospatial tools (QGIS, GeoPandas, or similar), • Solid understanding of statistics and machine learning fundamentals, • Interest in renewable energy, power systems, or infrastructure, • Experience with data visualisation tools (Power BI, Plotly, Streamlit) is a plus, • Strong communication skills and ability to explain technical concepts clearly, • Proactive, curious mindset with a desire to learn and grow ⭐ Why Apply? • Work on high-impact renewable energy projects shaping the UK’s energy future, • Gain exposure to engineering, energy markets, and infrastructure development, • Be part of a growing, entrepreneurial team with real autonomy, • Accelerate your career in one of the fastest-growing sectors globally 📩 Interested? Apply now or message me directly to learn more.

Our client, a consumer finance FinTech, are looking to expand their Credit Risk & Strategy team. This role will assess and monitor portfolio performance, lending strategy and wider business analytics, to ensure balance between risk management and business growth. Responsibilities • Analyse loan portfolio performance and credit data, • Suggest improvements to lending strategies and credit policies, • Use of statistical and machine learning techniques, • Contribute to wider business use of analytics Requirements • Credit risk experience, ideally within consumer finance, • Experience with credit bureau data, risk analytics, credit scoring models and lending strategies, • SQL and Python experience

We are looking for a Business Analyst with strong experience in Market Risk or Counterparty Credit Risk (CCR), supporting large-scale technology change and transformation programs within investment banking. The role requires a blend of functional risk knowledge, data analysis and technical understanding (including Python). Key Responsibilities • Work on risk transformation programs (Market Risk / CCR / FRTB) across technology and business teams, • Gather and document business and functional requirements for risk systems and reporting, • Translate requirements into detailed functional specifications and data mappings, • Perform data analysis and validation using SQL / Python for risk and trade datasets, • Support implementation of regulatory changes (e.g., FRTB) across systems and processes, • Collaborate with technology teams, quants and stakeholders to drive delivery, • Participate in UAT, testing and validation of risk calculations and outputs, • Ensure alignment across front office, risk and IT systems Must-Have Skills • Strong experience as a Business Analyst in Capital Markets / Investment Banking, • Strong exposure to:, • Market Risk or CCR, • FRTB or regulatory risk frameworks, • Strong data analysis skills (SQL mandatory), • Working knowledge of Python for data analysis / validation, • Experience in large-scale tech change / transformation programs, • Strong requirement gathering, documentation and stakeholder management skills Domain Experience (Critical) • Hands-on experience in:, • Market Risk (VaR, sensitivities, stress testing) OR, • CCR (exposure calculation, derivatives, counterparty risk), • Understanding of:, • Trade lifecycle and risk data flows, • Financial products:, • Derivatives (swaps, options, futures), bonds Good-to-Have • Experience working with risk systems / platforms, • Exposure to data lineage, reconciliation and controls, • Experience working with quants / model teams, • Familiarity with Agile delivery models, • Basic understanding of data architecture or APIs Experience • ~7–12 years (depending on depth of domain + program exposure)

Salary: up to £200k + bonus Summary High-frequency prop trading firm with offices worldwide are looking to expand their in-house trading team with a talented software developer well-versed in modern C++. Enjoying high levels of autonomy, the successful candidate will design, develop and implement a low-latency, high-frequency trading platform. You will also contribute to the development and optimization of large-scale parallel computation problems involving large amounts of shared data, and improve performance by optimizing the efficiency of machine learning-based algorithms. The ideal candidate will be comfortable managing multiple tasks in a fast-paced environment and possess exceptional communication skills in English, both verbal and written. Requirements • 5+ years of practical experience in C++ and 3 years with Python, • Professional experience of C++ 14/17/20, • Strong proficiency with data structures, algorithms, and OOP, • Sound experience using other programming languages, such as Java, • Solid working knowledge of Linux and SQL Benefits • Competitive salary + bonuses, • They're willing to be flexible with WFH, • Benefits including medical insurance and gym membership, • Collaborative and friendly environment with smart, highly engaged colleagues, • Relaxed, dress-down office culture, with breakfast, lunch and snacks provided Whilst we carefully review all applications, to all jobs, due to the high volume of applications we receive it is not possible to respond to those who have not been successful. Contact If this sounds like you or you would like to know more, please get in touch: Andy Stirling-Martin 020 3137 9579 linkedin.com/in/andrew-stirling-martin-7664a946

Contract Murex Back Office Business Analyst Location: London, UK – Hybrid working 3 days in their London office Duration: 6 months rolling (Contract) Rate: £700-800 per day (Inside IR35 / Umbrella Company Rate) We are seeking an experienced Murex Back Office Business Analyst with strong configuration and technical expertise to join a leading financial institution on a contract basis. This role focuses on Murex system configuration , integration , and back-office process optimization , supporting trade lifecycle, settlement, and regulatory compliance. Key Responsibilities • Configure and customize Murex back-office modules for trade processing, settlement, and reporting., • Enhance Murex workflows and functionalities, including Pre-Trade Workflow , Cash Settlements , SSI Management , and Confirmation Instruction Setup ., • Develop and maintain MxML workflows , data mapping, and scripting for automation and integration., • Collaborate with stakeholders to gather requirements and translate them into functional and technical specifications., • Troubleshoot and resolve technical issues related to Murex configurations and integrations., • Support testing phases (system, integration, UAT) and ensure compliance with regulatory standards. Required Skills • Deep understanding of Murex architecture and back-office modules ., • Extensive experience in configuring and customizing Murex for back-office functionalities., • Proficiency in MxML workflows , scripting, and data mapping., • Experience with CLS (Continuous Linked Settlement) interface., • Strong programming skills in Java and Python ., • Database management and SQL expertise for data extraction and manipulation., • Familiarity with API development and system integration., • Hands-on experience in Unix environments , including shell scripting and system administration. Desired Skills • Experience with Azure cloud services (deployment, monitoring, integration)., • Proficiency in Azure DevOps for CI/CD pipeline setup and automation. Why Apply? • Work on high-impact projects within a global financial institution., • Opportunity to leverage cutting-edge technology and optimize back-office operations., • Competitive day rates and flexible contract terms.

Senior Market Risk Developer – Historical Timeseries Position / Group description: The Risk Technology group builds and supports a global risk platform enabling the Risk Management group to oversee all areas of risk across the Firm. The risk platform provides capabilities for measuring, quantifying, analyzing, reporting, and controlling exposures across market and credit. The position is for a Techno-Functional Developer to design, enhance, and maintain the Market Risk Time Series infrastructure built on Snowflake and AWS. This role requires strong technical skills combined with deep domain expertise in market risk, including VaR , end-of-day market data , and historical time series. The candidate will work closely with the Market Data team and Risk stakeholders to ensure accurate, scalable, and auditable data solutions for risk analytics. Primary Responsibilities: • Data Sourcing & Integration, • Source historical market data from multiple internal and external providers., • Integrate with quant libraries to identify data quality issues and validate risk inputs. Data Quality & Remediation • Integrate with Quant APIs to detect and remediate common data quality issues (gaps, stale data, outliers, misalignments)., • Implement algorithms for gap-filling, back-filling, and anomaly correction to ensure data is fit for VaR and SVaR calculations. Infrastructure Development • Build and enhance Snowflake-based time series infrastructure for scalability and performance., • Develop Python ETL/ELT pipelines and optimized SQL models for historical time series storage and retrieval. Collaboration & Governance • Work closely with Market Data and Risk teams to define canonical market observables and maintain data lineage., • Ensure reproducibility and auditability of risk inputs for regulatory compliance. Essential Experience/ Skills: • 7+ years of hands-on experience in developing applications using Relational Databases and Big-data platforms., • Strong Python (pandas, numpy, data engineering best practices)., • Advanced SQL and Snowflake (warehouse management, streams/tasks, query optimization). Domain Knowledge • Market risk concepts: VaR, SVaR, sensitivities, stress testing., • Handling end-of-day market data and historical time series across asset classes., • Techno-Functional, • Ability to translate risk requirements into technical solutions and data contracts., • Bachelor’s degree, preferably in Computer Science, Engineering, Mathematics, or similar technical discipline Personal Attributes: • Strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex data related issues, • Strong verbal and written communication skills, • Self-starter and entrepreneurial in approach, • Ability to escalate and follow-up proactively, • Good time management skills At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives. We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is an equal employment opportunity employer. We practice equal opportunity for all, and all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodations to individuals with qualified disabilities, as appropriate, under applicable law.

Job Purpose ICE Clear Europe's Clearing Risk Department (CRD") is looking for a front office risk manager. The successful candidate will work closely with the senior management in overseeing and shaping the risk management practice at one of the largest futures and options clearing houses in the world. You will be joining a very dynamic team, be exposed to a wide range of asset classes and be challenged with complex risk problems. You will be responsible for managing all aspects of the day-to-day risk management and drive improvement and enhancements, including identifying, developing and overseeing the implementation of new risk management tools and techniques to enhance the risk management process and risk controls. You will also contribute towards the design and implementation of new risk initiatives and products that benefit the business. Responsibilities • Identify areas where the risk models, risk management processes, or infrastructure can be improved, • Assist with designing and implementing improvement and enhancements to models, risk infrastructure, and processes. Act as the project lead in seeing it through completion, • Frequent communication with representatives from clearing members, risk committees and senior management of Intercontinental Exchange (ICE), • Strike the right balance between complying with global regulatory standards and achieving commercial business requirements, • Ensure the risk management framework and risk policies are being adhered to and are consistent with regulatory and industry standards, • Monitor model performance tests and assess the appropriateness of models in order to demonstrate policy adherence, • Conduct mathematical/statistical analysis to calibrate and enhance risk models, • Collaborate with colleagues on key policy and methodology development, • Documentation of risk polices and models to clearing members, regulators, risk committees and other governance bodies, • Conduct project work and run thematic or ad-hoc market research on relevant risk topics, • Set examples to a team of risk analysts to foster a strong risk culture Knowledge and Experience • Master's Degree in Mathematical Finance or equivalent degree, • Attention to detail and strong problem solving skills with the ability to balance trade-offs, • Must have demonstratable experience in a role of the same or equivalent level and/or relevant professional experience in risk management and/or risk systems. At least some of this experience will have been gained in an investment bank, hedge fund or clearing house, • Strong knowledge in financial derivatives products in one or more asset classes (e.g. oil, power, gas, interest rates, equity, softs), • Proven ability to apply risk management models and techniques such as Value at Risk models, Liquidity Risk models, backtesting and stress testing models, • Ability to be a team player and to help with creating a strong risk culture, • Proven ability to conduct research, analyze problems, formulate and implement solutions in an efficient, effective and independent manner, • Excellent written and verbal communication skills, and comfortable in communicating risk issues to senior management for decision-making purposes, • Experience with SQL and Python preferred

London based family office is looking for an experienced Data and Reporting Specialist to become an integral part of their team. This is an exciting and unique opportunity to join this dynamic and well regarded organisation. You will work independently as well as with the investment team across Public equities, hedge funds, private equity and real estate. Responsibilities include: Build, maintain, and optimise data pipelines from multiple sources including market data providers, internal systems and third-party platforms Ensure data integrity, consistency and accuracy across all analytical outputs Design and maintain dashboards to report on performance, attribution and risk Prepare regular investment reporting packs for internal committees and clients Assist with the automation of manual workflows and processes across the business Document all procedures, controls and methodologies You will likely possess at least 3 years relevant experience in a Data Analytics role most likely with some performance/ attribution experience within Asset Management. You will be proficient in SQL and Python and hold prior experience in building dashboards and reports using BI.

Data Governance Analyst | c. £50,000 + package | London 1 day per week (hybrid working) One of the UK's leading charitable organisations has recently refreshed its data governance framework and is now looking for a Data Governance Analyst to join its growing Data Governance & Assurance team. This is a high-visibility role with real strategic impact — you’ll help embed best-practice data governance, raise data quality standards, and support the delivery of a single version of the truth across the business. What you'll be doing • Investigate data quality issues using SQL, Excel and other analytical tools, and identify root causes, • Support the development and maintenance of the Business Glossary and Critical Data Elements., • Work closely with Data Owners, Data Stewards and business stakeholders to create and deliver targeted data improvement plans, • Define data quality metrics, build reports and scorecards, and communicate insights to senior leaders, • Maintain documentation of end-to-end data flows and information assets, • Support regulatory reporting processes and ensure accuracy and completeness, • Play an active role in the Data Governance Forum and working groups What you’ll bring • Proven experience in a data quality or data governance role - at least 2/3 years, • Strong stakeholder management and influencing skills – confident in leading conversations at all levels, • Solid SQL and advanced Excel ability, • Understanding of data quality frameworks (DAMA knowledge is a plus), • A strategic mindset with genuine passion for improving data governance and quality If you’re a data governance professional who enjoys working collaboratively with the business to turn data into a trusted strategic asset, this could be a fantastic next move. Click apply now to find out more.

HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Mandatory Required Skills Sql, Python, Power BI and Tabaleau Preferred /Desired Skills • Use SQL/BI tools to analyze business data, • Create dashboards (Power BI / Tableau), • Perform trend analysis and reporting, • Collect, clean, and analyze structured and unstructured data from multiple sources., • Develop and maintain dashboards and reports (weekly/monthly) for business stakeholders., • Write and optimize SQL queries for data extraction and analysis., • Identify trends, patterns, and insights in data to support decision-making., • Perform data validation, quality checks, and reconciliation., • Automate reports and improve reporting efficiency and accuracy., • Work with stakeholders to understand business requirements and translate them into data solutions.

BI ANALYST LONDON/HYBRID UP TO £70,000 This is a rare opportunity to join a high organisation at a pivotal stage of scale up. Sitting within a centralised Business Intelligence function, you will play a key role in shaping how data is used across the business, influencing decisions at pace and delivering insight that genuinely drives value. ROLES AND RESPONSIBILITIES: The BI Analyst will: • Use SQL to explore data, build well structured datasets and deliver repeatable analysis, • Design, build and maintain dashboards using modern BI tools such as Tableau or similar, • Deliver recurring MI and reporting to support commercial, operational and risk decisions, • Identify and implement opportunities to automate manual reporting processes, • Support performance monitoring across key business domains, • Translate business requirements into clearly defined and documented metrics, • Contribute to improving data quality, modelling standards and the wider semantic layer YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: • Strong commercial experience in a BI Analyst, Data Analyst or Reporting Analyst role, • Advanced SQL skills, including joins, aggregations and complex queries, • Experience building data models and transformations, ideally using dbt, • Exposure to semantic modelling, star schemas or Kimball style methodologies, • Experience with data visualisation tools such as Tableau, Power BI or Looker, • Comfortable working with stakeholders and explaining insight to non technical audiences, • A value driven mindset with clear examples of impact from your analysis

SQL Developer – Insurance | 6-Month Contract | Up to £625/day Also permanent role available £50,000 - £60,000 We’re looking for an experienced SQL Developer to join an established team working on an existing Data Warehouse within the insurance sector. This is a hands-on contract role focused on accelerating the delivery of management information and underwriting reports for a well-established insurance environment. Key Requirements • Strong SQL Server / T-SQL development experience, • Proven experience working within the insurance industry ESSENTIAL, • Exposure to the Lloyd’s market is ESSENTIAL, • Experience working with Data Warehouses and reporting solutions, • Ability to work within an existing delivery team and hit the ground running, • Strong understanding of management and underwriting reporting Role Responsibilities • Develop and optimise SQL solutions within an existing Data Warehouse, • Support the accelerated delivery of reporting outputs, • Work closely with business and technical stakeholders, • Enhance and maintain management and underwriting reports, • Ensure data accuracy, performance, and reliability Contract Details: • Contract Length: 6 months, • Rate: Up to £625 per day, • Start: ASAP, • Location: Hybrid / London If you have strong insurance-sector SQL development experience and can quickly add value within a mature reporting environment, we’d like to hear from you.

London | Hybrid, 3 days per week in the office Salary: up to £50,000 We’re hiring for a fast-growing London marketing and media agency of 85+ people, working with major global brands and competing successfully against much larger networks. What we’re looking for: • Strong hands-on BI, data analysis or data engineering experience, • Advanced SQL and Google BigQuery skills, including query optimisation, • Experience building dashboards and reporting solutions in Data Studio and/or Tableau, • Good knowledge of marketing and advertising data, including paid search, paid social, programmatic, web analytics or CRM, • Someone who can understand what teams need to know and build the reporting, insight and recommendations to support better decisions, • Confidence working with non-technical stakeholders across account, media and strategy teams This is a hands-on role owning and improving an established marketing data stack, with a focus on BigQuery and Data Studio. What you’ll be doing: • Building, improving and monitoring SQL-based data pipelines in BigQuery, • Bringing together data from platforms such as Google Ads, Meta, DV360, Siebel, GA4 and other marketing sources, • Creating practical data models that make reporting easier, faster and more consistent, • Building dashboards and reports for campaign performance, client reporting and internal KPIs, • Creating reusable reporting templates, standardised views and data products, • Producing insight around attribution, funnels, cohorts, budget pacing and forecasting, • Helping account, media and strategy teams spot trends, risks and opportunities, • Working with Data and Ad Ops teams to support accurate data collection, tagging and integration, • Improving data quality, documentation, reporting standards and governance Experience with Python, APIs, Supermetrics, custom scripts, connectors or ETL tools would be a bonus, but isn’t essential. Why join? • Real ownership of an established data infrastructure, • Visible impact on campaign performance and client decision-making, • A growing agency that has doubled in size over the past three years, • A high-performing, streamlined culture with direct communication and strong leadership

Risk Data Operations Manager (Director) – Asset Management / Investment Management £100K-£120K per annum plus bonus & Benefits Our client is a leading Asset Management company and is currently looking for a data expert in the domain of portfolio risk analytics to lead a Risk Platform Operations team responsible for ensuring that all vendor and internal portfolio risk analytics used for risk management and portfolio construction are delivered consistently, accurately and on a timely basis. The team are the stewards of risk analytics data and focus on quality control of all data that feeds into portfolio risk analytics, including security factor exposures and proxies, factor returns and covariance matrices, fundamentals data, security T&Cs, and portfolio holdings. The successful candidate will provide data expertise to portfolio and risk managers who use portfolio risk models and engineering teams which build production processes around them. You will also mentor more junior members of the team, helping them gain the domain expertise necessary to root-cause daily issues effectively, work with internal and external data providers to resolve issues at source, answer investor questions, and develop automated systems for identifying data quality issues. Experience Required: • Proven experience with market risk models from leading vendors such as Barra (BarrOne), Axioma, Northfield, and Bloomberg (Bloomberg PORT)., • Strong analytical capabilities with a demonstrated ability to comprehend large datasets and implement effective data quality controls., • Proactive and self-motivated approach, with the ability to work independently while providing oversight and mentorship to junior team members., • Deep understanding of financial data including security, company, portfolio, and index-level information, as well as pricing across equities, bonds, and derivatives., • Proficiency in SQL, Python, Snowflake, and/or Oracle, with hands-on experience in data quality frameworks and automation tools., • Experience in global data operations or support roles within the financial industry, with a track record of delivering high-quality data solutions., • Expertise in anomaly detection methods, statistical tools, and best practices for managing data quality workflows., • Demonstrated leadership in team environments, including mentoring junior associates and driving process improvements., • Experience working in complex data environments, with the technical and analytical infrastructure required to support them., • Ability to identify and resolve root-cause data quality issues, collaborating with internal teams and external data providers to correct issues at the source., • Skilled in developing automated processes to detect and resolve data errors, ensuring high-quality data for investment decision-making., • Experience in documenting key procedures and calculations and validating data for accuracy and completeness., • Domain expertise in investment management, with knowledge spanning risk management, portfolio management, trading, and investment operations.

Key Responsibilities • Design, develop, test, and support robust, production-ready software solutions, adhering to modern engineering best practices., • Build and maintain microservices-based systems, with a strong focus on scalability, resilience, and performance., • Develop and optimise scalable data pipelines, supporting both batch and streaming workloads, using technologies such as Apache Spark., • Work extensively with data technologies, leveraging Python and SQL to deliver high-quality analytical and data-driven solutions., • Lead the design and delivery of data-centric applications, translating complex business and analytical requirements into well-architected technical solutions., • Implement and integrate large language models (LLMs), including:, • Utilising both proprietary and open-source models, • Fine-tuning models to meet specific business use cases, • Delivering solutions via APIs, such as OpenAI APIs, • Collaborate closely with product managers, data scientists, and engineering peers to shape technical designs and delivery approaches., • Apply strong problem-solving and analytical skills to diagnose issues, optimise performance, and improve overall system reliability., • Demonstrable hands-on experience developing production-grade backend systems., • Proven experience designing and implementing microservices architectures, ideally within cloud environments., • Strong background in data engineering, including building and maintaining large-scale data pipelines., • Advanced proficiency in Python and SQL., • Practical experience working with large language models, including model fine-tuning and API-based integrations (e.g. OpenAI)., • Experience in solution and system design, particularly for data-driven and analytical platforms., • Solid understanding of core software engineering principles, including version control, automated testing, and deployment pipelines., • Experience working with major cloud platforms such as AWS, Azure, or GCP., • Familiarity with containerisation and orchestration technologies (e.g. Docker, Kubernetes)., • Exposure to MLOps practices or deploying AI/ML models into production environments., • Experience working in agile or fast-paced delivery teams.

We’re seeking an exceptional Head of Engineering / Engineering Manager to partner closely with our CTO and lead the next stage of our engineering organisation. We want a deeply technical leader who still loves to build, leads from the front, and thrives in high-velocity, high-ownership environments. Your mission: build the fastest engineering team on the planet. Who you are: You’re a top-tier engineer with proven leadership experience in fast-moving startups or scaleups. You’re comfortable making imperfect decisions quickly, you’ve built products under pressure, and you know that momentum beats perfection. You might be: • A seasoned engineer who has already stepped into an Head of Engineering / Engineering Manager role at a venture-backed startup, • An ex-founder who has built and shipped products under real pressure, • A startup tech lead who thrives on ownership and bold decisions, • A pragmatic builder who values time-to-value over “the right way” What makes you perfect for this role: • Engineering leadership: You’ve coached and unblocked engineers in high-velocity, high-pressure environments., • Deep technical expertise: You have strong architecture instincts and solid security knowledge, but you’ll cut through complexity to keep shipping., • Startup operator mindset: You’ve taken products from 0→1 or through hyper-growth and know how to build systems that evolve with the company., • Velocity obsession: You believe iteration > perfection, and your instinct is always to get value in front of users as fast as possible., • AI-first: You’re bullish on AI, vibe-coding daily, and always looking for ways to push velocity through AI-assisted workflows., • DevX focus: You obsess over developer experience because you know great tooling = more speed., • Execution focus: Monitoring, observability, and performance aren’t “nice to haves”, they’re how you ship fast without breaking trust. What you'll do • Set the bar for engineering velocity: coaching, mentoring, and unblocking the team every day, • Make architectural and security calls fast, balancing speed with long-term resilience, • Build and own best-in-class developer experience - tooling and workflows that eliminate drag, • Monitor and protect reliability and SLAs, while still moving at startup speed, • Establish a culture where iteration is celebrated and perfectionism is challenged How we work at Lightdash • We build in public. Open source means moving fast with shared context., • We challenge problems, not people. No blame, just solutions., • We’re highly collaborative. Independent, but we win as a team (and with our community)., • We bias hard toward impact. We’d rather ship the wrong thing quickly and learn, than waste weeks polishing what nobody needs. Our tech stack: • Primary: TypeScript, React, Node, SQL, • Frameworks: Express, React-hooks, Redux, RTK, Mantine ⚡ We’re deliberately looking for ambitious leaders from startups and high-growth companies. If you want predictability, long roadmaps, and “the right way” over speed, this isn’t the role for you. 👉 Research shows that women and underrepresented groups often don’t apply unless they meet 100% of the requirements. Even if you don’t tick every box, if you have startup experience and a hunger for velocity, we’d love to hear from you.