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Role: Catastrophe Modelling Analyst Industry: Insurance Location: London (2-3 x days per week) Salary: Up to £50k depending on experience About the role We are looking for a Catastrophe Modelling Analyst to join our Insurance clients Exposure Management team in London. This role plays a key part in supporting underwriting and business decision‑making through high‑quality exposure modelling, portfolio analysis and catastrophe risk insight. You will be responsible for recording and modelling exposure information across allocated portfolios, working closely with Underwriters to support the quoting and aggregation process. The role also involves supporting roll‑ups, regulatory reporting, and post‑event analysis, while contributing to ongoing improvements in data quality and modelling capability. This is a great opportunity for an analytically minded professional with experience using catastrophe models who is keen to deepen their technical expertise and progress within a collaborative, high‑performing risk function. Key responsibilities • Support Underwriting teams by leading the quoting, cleansing and aggregation service for allocated classes, • Use third‑party catastrophe modelling tools (e.g. AIR, Verisk) to model risks pre‑bind, • Produce high‑quality modelled outputs for internal and external reporting, including regulatory submissions (e.g. RDS, LCM, Aggregate Monitoring, Outwards RI), • Maintain accurate and detailed policy and exposure data within accumulation systems, • Support roll‑up processes across multiple geographies, ensuring data integrity and consistency, • Peer review third‑party model outputs and provide guidance on improvements where required, • Act as a key point of contact for offshore modelling partners, answering queries and providing ongoing guidance, • Lead training and knowledge transfer for junior analysts and outsourcing partners, • Support exposure management projects and continuous improvement initiatives, • Contribute to post‑event exposure and loss potential analysis Skills and experience • Undergraduate degree (or equivalent) in a relevant discipline such as Mathematics, Natural Sciences, Geography, Finance or Economics, • At least 1 year’s experience using third‑party catastrophe models and/or aggregation tools, • Advanced Microsoft Excel skills, • Working knowledge of SQL (R, VBA or Python desirable), • Experience with data visualisation tools (e.g. Power BI, Tableau, Pyramid) is desirable, • Strong analytical skills with the ability to interpret and explain complex data, • Well organised, proactive and able to work independently in a time‑critical environment, • Excellent communication skills, with the ability to translate technical concepts for a range of audiences If this role is of interest please apply

Senior Data Engineer London £65-85k + 15% bonus A London-based software company on a mission to make data work smarter. Their products power thousands of businesses, and as they grow, they’re building a data stack that scales with their ambition. They’re looking for a Data Engineer who’s excited about designing modern data systems, experimenting with new tech, and helping shape how data flows through everything they build. What You’ll Do • Build and own data pipelines that connect product, analytics, and operations, • Design scalable architectures using tools like dbt, Airflow, and Snowflake / BigQuery, • Work with engineers and product teams to make data easily accessible and actionable, • Help evolve their data warehouse and ensure high data quality and reliability, • Experiment with automation, streaming data, and ML-ready datasets, • Influence technical decisions across the stack — they love new ideas What You Bring • Hands-on experience in Python and SQL, • Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.), • Knowledge of cloud platforms like AWS, GCP, or Azure, • An understanding of data modelling and ETL best practices, • Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It • Work on meaningful data challenges that directly impact their products, • Small, high-impact team with room to experiment and grow, • Hybrid setup with a central London HQ, • Competitive pay, generous (and achievable bonus), and genuine flexibility, • A team that actually cares about building great tech If you love solving tough data problems and want to help shape the data culture of a growing software company, they’d love to meet you.

Do you want to work on pricing models that challenge the status quo? Have you ever built predictive models on large, messy customer datasets? Are you ready to experiment with new modelling approaches inside a major UK insurer? A leading digital-first UK insurer is hiring a Senior Data Scientist to join a specialist pricing innovation team. The business serves over two million customers and has invested heavily in data infrastructure and modern modelling capabilities. This team acts as a pricing R&D function, experimenting with new modelling techniques and data sources to challenge and improve traditional pricing approaches. You will build predictive models using large behavioural datasets and help introduce new modelling approaches into production pricing systems. The role offers strong technical ownership in a small, innovative team working closely with core pricing functions. Key Responsibilities • Build predictive models on large and complex datasets, • Develop residual and pricing models to test new signals, • Work on geospatial / footprint modelling problems, • Deploy models using Azure ML and internal infrastructure, • Experiment with new data sources to improve pricing models, • Mentor a graduate data scientist Key Details • Salary: £60,000 - £75,000 (up to £80,000 for exceptional candidates), • Bonus: ~20% + £5k car allowance, • Working model: Hybrid (1 day per week in office – London), • Tech stack: Python, SQL, Azure ML, GraphDB, • Visa sponsorship: Available Interested? Please apply below.

Senior Data Engineer London (2 days per week in office) £80,000 – £90,000 + 15–30% bonus] We are partnering with a prestigious financial services firm building one of the most advanced Snowflake platforms in the UK. This is a high-impact role within a modern data engineering function focused on scalable data, AI enablement, and platform innovation. You will join a growing team, working hands-on across Snowflake while helping mentor junior engineers and shape best practice across the platform. Role Overview • Build and optimise data solutions in Snowflake, • Develop pipelines using Python and SQL, • Work across Snowpark, SnowSQL, Dynamic Tables, Cortex, • Support AI use cases using Snowflake Cortex, • Ensure strong data quality and governance standards, • Mentor junior Data Engineers and support onboarding, • Contribute to testing and rollout of new platform capabilities Essential Skills • Strong hands-on Snowflake experience (deep expertise required), • Excellent Python and SQL skills, • Experience building scalable data pipelines, • Strong understanding of data quality principles, • Comfortable mentoring junior team members Desirable • Experience with Snowflake Cortex / AI features, • Exposure to financial services or financial data environments, • Understanding of financial modelling or external data products Why Apply • Work on a market-leading Snowflake platform, • Exposure to AI-driven data engineering (Cortex), • High-growth team with strong technical investment, • Opportunity to shape junior engineers and platform direction Unfortunately, this role does not offer sponsorship.

Data Engineer (Palantir, AI & Advanced Analytics) London | Permanent | Hybrid Working Our client is a fast‑growing technology and AI consultancy that helps organisations solve complex data challenges across government and enterprise environments. The firm specialises in delivering Palantir‑led data platforms and decision‑intelligence solutions, supporting clients to unify fragmented data, build operational workflows, and enable informed decision‑making in mission‑critical settings. As a Data Engineer, you will work at the intersection of software engineering, analytics, and AI‑enabled consulting. This is a hands‑on role where you’ll design and build solutions using Palantir technologies, develop scalable data pipelines and workflows, and support advanced analytics and AI use cases deployed in real‑world operations. The team is growing across multiple levels, from Junior through to Senior Manager, offering clear pathways for both technical growth and leadership development. You’ll have the opportunity to: • Design and deliver data‑driven solutions to complex client challenges, • Build and maintain scalable data pipelines and ETL processes, • Engineer data workflows and decision‑support tools on Palantir platforms, • Work on applied AI and machine‑learning use cases, • Deliver Palantir implementation and advisory work across enterprise clients, • Combine software engineering expertise with strategic problem‑solving, • Work directly with clients across government, defence, health, and commercial sectors, • Share knowledge and contribute to capability development across the engineering community Your Responsibilities As a Data Engineer, you will: • Translate complex client problems into effective Palantir‑based data solutions, • Build, configure, and maintain data pipelines and operational workflows, • Integrate, transform, and structure data for analytics and AI consumption, • Apply strong software engineering practices to deliver reliable, maintainable solutions, • Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases, • Collaborate with colleagues on analytics, AI, and machine‑learning initiatives, • Mentor junior engineers and contribute to engineering best practice, • Build trusted client relationships and support long‑term transformation outcomes Key Requirements As a Data Engineer, you should have: • Strong experience with Python, SQL, and TypeScript, • Proven experience working with Palantir technologies (e.g. Foundry, Gotham) in delivery environments, • Solid understanding of data engineering concepts, ETL pipelines, and workflow design, • Experience delivering analytics‑driven or data‑intensive platforms, • Interest in AI, machine learning, and advanced analytics, • Excellent problem‑solving and communication skills, • Ability to work effectively in collaborative, client‑facing environments, • Active UK Government Security Clearance (SC) and the ability to operate on secure client engagements You will gain exposure with: Working as a Data Engineer, you will gain exposure to: • Advanced Palantir implementations across complex organisations, • Decision‑intelligence and operational analytics at enterprise scale, • AI‑enabled data solutions deployed in real‑world, regulated environments, • Client‑facing delivery on mission‑critical programmes, • Engineering‑led consulting and strategic problem‑solving You’ll operate in an environment that combines: • Hands‑on software and data engineering, • Palantir‑centred analytics and AI capability, • Consulting delivery with measurable real‑world impact Why Join? • Specialise in Palantir‑led data and decision‑intelligence delivery, • Work on high‑impact, mission‑critical programmes, • Build deep technical expertise alongside consulting capability, • Progress your career across technical and leadership tracks

A global investment firm is seeking a Quantitative Analyst to join their quantitative equities team. This role combines quantitative rigor with deep fundamental equity insights to support a disciplined, data-driven investment approach. Key Responsibilities: • Conduct quantitative research to strengthen the team’s understanding of valuation patterns, business fundamentals and risk dynamics across global equities, • Integrate financial statement analysis with broader market and sector analysis to generate investment recommendations, • Apply research findings to improve alpha signals and portfolio construction, • Collaborate closely with portfolio managers, helping refine investment frameworks in response to shifting market environments, • Share clear, evidence‑based conclusions both verbally and in writing, contributing to a culture of high‑quality research and constructive debate Candidate Profile: • 3-7 years’ experience relevant experience in a similar role, • Extensive knowledge of equity markets, • Strong interest in both fundamental and quantitative approaches, • Comfortable working financial and market datasets with an enthusiasm for AI applications, • Familiarity with quantitative analysis tools and languages, particularly Python and SQL, • Excellent communications skills with ability to explain complex ideas clearly to diverse stakeholders, • Strong intellectual curiosity and desire to expand technical and analytical skills, • Enjoys collaborating in a team-oriented environment Mason Blake acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. Mason Blake is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief or age.

Lead Product Analyst London - hybrid 3x a week Up to £100,000 + equity This is a high impact Lead Product Analyst role where you will shape how data drives product and customer experiences within a fast-paced, product-led technology business. With a strong focus on personalisation and experimentation, this role offers the chance to influence core commercial outcomes while working on a rapidly scaling international portfolio. The Company They are a well-established, data driven fintech operating a multi-product consumer app across lending and financial services. Known for their strong analytical culture, they have been profitable for several years and continue to grow at pace, including significant expansion into the US market. Data sits at the centre of decision making, with analytics embedded closely alongside product, engineering and growth teams. The Role You will operate as a senior individual contributor within the product analytics function, owning insight across key customer journeys and driving measurable impact. • Lead product analytics for a consumer app, focusing on personalisation and customer relevance, • Use data to determine the right product, message or experience to show each user at the right time, • Partner closely with product managers, engineers and data scientists in a cross functional, pod based environment, • Drive experimentation through robust AB testing and funnel analysis to improve conversion and engagement, • Support recommendation systems and propensity models to predict customer behaviour and purchase likelihood, • Analyse customer journeys, drop offs and lifecycle behaviour to optimise in app and push notification experiences, • Translate complex analysis into clear commercial recommendations for senior stakeholders Your Skills and Experience • Strong experience in product or growth analytics within consumer facing digital products, • Advanced SQL and strong Python skills, with Python central to day to day analysis, • Proven experience with experimentation, AB testing and causal analysis, • Exposure to propensity modelling or recommendation based use cases, • A commercial mindset with the ability to link analysis to business outcomes, • Experience working closely with product and engineering teams in agile environments, • Familiarity with complex, multi step customer journeys, ideally within apps or large scale consumer platforms What They Offer • Salary up to £100,000, • Equity participation, • Hybrid working with three days per week in the London office, • A highly visible role with real ownership and influence over product direction, • Strong opportunities for growth within a scaling analytics function How to Apply Apply now to learn more about this Lead Product Analyst opportunity and how it could fit your next career move.

Exciting opportunity for a Senior Business Analyst to join this global Energy company for a 8 month initial contract. Must Haves: *Direct experience in the delivery of data aggregation and analytics platforms – Data Lakehouse and Data Warehouse builds, ideally using Azure Cloud and Databricks. *Prior experience in oil and gas trading (Crude and/or Products), ETRMs and Commodity trading principles. *London Office 3 days a week/ Hybrid Products Data Exchange is a one-stop shop for Products to find and provision all data needs and to expand on current analytic and digital capabilities and more broadly enable data science and artificial intelligence capabilities on cloud technology. One of the driving benefits is the ability to enable a consistent and cleansed view of global P&L and Exposure. PDE provides near real-time access to curated datasets to enable more global intra-day reporting The core requirements for this role with the Products Data Exchange (PDX) Team: • Experience in mixed Waterfall / Agile project environments and able to work in a way that allows delivery across both approaches, • Confident building and maintianing documentation products inc. Requirements Backlogs, RAID logs, Data Requirement specifications, product support documents etc., • Experience with Azure Devops (ADO) and capable of helping to develop and maintain backlog work items here, • Direct experience in the delivery of data aggregation and analytics platforms – Data Lakehouse and Data Warehouse builds, ideally using Azure Cloud and Databricks / ADF, but AWS / GCP , Snowflake, Synapse, Fabric and other relevant technologies all of interest, • Prior experience / domain knowledge in the oil and gas industry and with oil and gas trading (Crude and/or Products) , O&G industry supply chains, ETRMs, and Commodity trading principles, • Experience with BA tools like MS Visio, Figma, Azure Devops, and use of CoPilot in Teams all of value This needs combining with a positive attitude and an ability to work within a large, globally dispersed project team in a multi-cultural environment. You also need to be a self-starter, a logical thinker and a quick learner, with strong initiative and excellent communication, interpersonal and presentation skills, able to write clearly and concisely. We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age. With a focus within Energy Trading, Oil & Gas, Financial Markets and Commodities, we offer a transparent Recruitment Service that has proven to be reliable and effective for over 40 years. We are ISO accredited and proud of our excellent Trustpilot Reviews. Your search for a New Contract Assignment or for a New Permanent Job will be in safe hands with Eaglecliff Recruitment. Please telephone for an immediate response or email your CV for a quick response. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing.

Credit Risk Analyst – Python & SQL – London We are seeking a Credit Risk Analyst to join our dynamic team in London. You will leverage Python and SQL to analyse credit data, build risk models, and deliver actionable insights while ensuring compliance with relevant regulations. Key Responsibilities: • Analyze credit portfolios and assess risk exposure., • Develop and maintain risk models using Python and SQL., • Generate reports and dashboards to communicate findings to stakeholders., • Ensure credit risk activities comply with regulatory requirements., • Collaborate with business teams to support data-driven decision-making.Requirements:, • Strong experience with Python and SQL., • Solid understanding of credit risk frameworks and regulatory requirements., • Previous experience working with financial regulations (e.g., Basel III, IFRS 9)., • Excellent analytical and problem-solving skills.

Quantitative Developer - LNG - London THE ROLE We are seeking a highly skilled and motivated Quantitative Engineer with a focus on Commodities Trading, and ideally LNG .You will be part of a small but growing team where you will work directly with the business on complex technology trading problems. You will collaborate with Analysts, Traders and Software Engineers cross-functionally. KEY RESPONSIBILITIES • Work closely with the trading desks (traders, originators, structurers and analysts) to acquire in-depth business knowledge, identify their challenges, and capture specific needs., • Design and build scalable, high-performance end-to-end applications and implement quantitative models for structuring deal evaluations, trading, risk management and portfolio optimization., • Calibrate models to market data, including curves, volatilities, and correlations; perform back-testing, stress testing, and monitor model performance., • Implement robust applications to replace Excel-based processes where applicable, to enhance reliability, reduce operational complexity and minimise operational risk., • Contribute to the development of the shared quantitative platform designed to support all trading desks., • Utilise cutting-edge technologies, such as cloud computing, to drive improvements in efficiency and productivity for the trading desk., • Take ownership of the delivery and maintenance of high-quality code and provide prompt, effective support to resolve issues as they arise. Qualifications and Requirements: • Degree educated in either Computer Science, Mathematics, Statistics, Financial Engineering, or a related quantitative field., • Strong programming skills and advanced proficiency in Python., • Strong understanding of probability theory and derivative option pricing., • Experience with front-end frameworks such as Angular or React, and understanding of database management, including SQL or NoSQL systems., • Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and cloud computing platforms., • Intellectual curiosity and willingness to learn new models and physical commodity markets., • Excellent problem-solving skills and a strong attention to detail., • Strong stakeholder communication skills., • Prior experience in commodities trading is beneficial but not required.

Data Analyst – Private Credit Intelligence (Forecasting & Simulation Support) Location: London (Hybrid) Salary: £45,000 – £55,000 + Benefits (plus meaningful equity participation) Start Date: ASAP About the Opportunity: We’re recruiting on behalf of an ambitious, high-growth organisation building an intelligence platform for private credit — turning large-scale, real-world financial behaviour into forward-looking insight for fintechs and investors. This is a Master’s-level Data Analyst role for candidates with up to 2 years’ experience post-Master’s. You’ll sit close to the core analytics and modelling roadmap—supporting forecasting and simulation work through high-quality datasets, scalable reporting, and reliable pipelines—while also owning key BAU data and reporting responsibilities. What You’ll Be Doing: • Owning BAU analytics and reporting: recurring KPI packs, portfolio/credit performance reporting, trend analysis, and stakeholder updates, • Building and maintaining clean, analysis-ready datasets from messy real-world sources (portfolio, transaction, performance, behavioural and macro/market inputs), • Supporting forecasting/simulation initiatives by:, • Preparing modelling tables, features, and cohort definitions, • Producing validation checks, back-testing support, and monitoring metrics, • Documenting assumptions and ensuring outputs are reproducible, • Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA), • Improving data quality: reconciliation, anomaly detection, root-cause analysis, and automated checks, • Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented, • Collaborating with data science/engineering to push reliable datasets into production and reduce manual effort What We’re Looking For: • MSc completed in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Physics, Econometrics, OR), • 0–3 years professional experience post-Master’s in a data analyst / analytics role (internships/placements welcome in addition), • Strong SQL skills and confidence working with relational data and large datasets, • Strong Python for analysis/automation (pandas, NumPy; good coding hygiene), • Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder-facing dashboards), • Solid understanding of analytics fundamentals: data cleaning, joining/aggregation logic, basic statistics, and QA approaches, • Comfort working in a fast-paced environment with a mix of BAU and project-based work, • Clear communication skills and a proactive, process-improvement mindset, • Full right to work in the UK (visa sponsorship not available) Desirable (Not Essential): • Exposure to credit / lending / risk / portfolio datasets, • Time series familiarity (trend/seasonality, cohorts over time, monitoring), • Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar), • Experience creating automated data quality frameworks or reconciliation checks Benefits: • £45,000 – £55,000 salary, • Hybrid working in London, • Strong benefits package (details shared during process), • Meaningful equity participation, • High-impact role working with real-world private credit data and a product-led roadmap How to Apply: Please apply with your most up-to-date CV and I’ll be in touch ASAP to arrange an initial call and share further details.

An established commodities trading firm is seeking a Trading Analyst to join its London office. The business trades oil derivatives across global markets including crude and refined products. This is an excellent opportunity for an early-career professional to develop a strong foundation in trading and P&L analysis within a dynamic and collaborative environment, working closely with traders and key internal teams. The Role Sitting at the intersection of trading and operations, you will play a key role in supporting daily trading activity and ensuring the accuracy of trade data and P&L reporting. The position offers hands-on exposure to daily P&L processes, trade validation, and trading activity, as well as regular interaction with front office stakeholders. Key Responsibilities • Perform daily P&L analysis, investigating and explaining key movements, • Investigate discrepancies and identify root causes of inconsistencies, • Assist in the production of trading and performance reports, • Conduct trade checks to ensure accuracy of booked transactions, • Support ad hoc reporting and data analysis across trading activities, • Assist with KYC and onboarding processes for new counterparties, • Monitor trading activity and flag anomalies or unusual patterns, • Liaise with traders and operations teams to resolve issues efficiently Requirements • 1–2 years of professional experience within commodities, trading, or financial markets (including internships), • Degree in Mathematics, Economics, Computer Science, or a related field, • Basic understanding of derivatives and financial markets, • Exposure to Python, SQL, or VBA is advantageous, • Strong analytical and problem-solving skills with high attention to detail, • Ability to interpret data and communicate findings clearly, • Confident working with different stakeholders in a fast-paced environment

ERS Forensic, Analytics Manager (108689) KPMG overview KPMG in the UK is part of a global network of firms that offers Audit, Legal, Tax and Advisory services. Through the talent of over 16,000 colleagues we bring our creativity, insight and experience to solve our clients’ and communities’ biggest problems. We’ve been doing this for more than 150 years. We aim to be universally recognised as a place for great people to do their best work. A firm known for our collaborative and inclusive culture, using technology to empower and equip our people to deliver outstanding work with real flexibility – through inspiring workspaces, innovative ways to collaborate and hybrid ways of working. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our mission is simple: To support the UK in a connected world. It guides everything we do, underpinned by our values: Courage, Integrity, Excellence, Together and For Better. Summary of role purpose Investigations and Compliance (I&C) is part of KPMG’s Forensic practice. We help clients with their biggest and most challenging misconduct and integrity matters. Our work helps clients respond to regulatory enquiries, reduce reputational risk and prevent or reduce commercial loss by helping them to investigate and mitigate risks including fraud and misconduct, bribery and corruption, financial crime and much more. As a result of an exciting and increasing pipeline of fraud analytics work, we are looking for a Manager to help coordinate the strategic direction of a team deploying analytics (including fraud analytics routines and GenAI capabilities) over large complex financial and other datasets, both structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This role requires a deep understanding of both structured and unstructured data analytics techniques, coupled with strong leadership and communication skills. The successful candidate will be responsible for developing and implementing innovative analytical solutions leveraging a wide range of techniques, including through the use of SQL, Python, cloud computing and Generative AI (GenAI). You should expect to work on a variety of project-based work over a cross section of forensic work types, industries and geographies. Day to day activities will vary depending on the type and circumstances of each project. As a Manager, you will be expected to: • Manage the day-to-day delivery of client engagements, or components thereof, with a focus on using data analytics tools, developing one off or continuous solutions, to analyse large and complex datasets, both structured and unstructured, • Liaise and work directly with the client, the client’s external counsel, senior members of the KPMG team and other third parties as required, • Draft written deliverables and/or presentations, suitable for review by KPMG Partners and Directors, and ultimately for presentation to our clients, • Oversee and train junior colleagues, • Participate in business development activities including marketing, knowledge sharing and practice development You will be based in KPMG’s CSQ office working under KPMG’s hybrid working model of both home and office working. You will need to display a flexible attitude to working and be prepared to travel/work at other locations within the UK and internationally. The Person Essential: • Has a track record of developing a strategy to deploy data analytics tools across large data sets to identify markers of potentially fraudulent activity, and successfully deploying that strategy in a complex and dynamic investigations environment, • Has proven expertise in SQL, Python, and other relevant programming languages to perform data curation, analysis and interrogation to return answers to the analytical questions posed, • Has experience in translating non-technical business requirements into analytical solutions, • Is a qualified accountant or understands double entry bookkeeping in the context of ERP systems, • Can demonstrate experience of building GenAI solutions, understands the capabilities and concepts of LLMs, such as AI agents, and has knowledge of prompt engineering techniques, • Works independently, resolving complex issues with little or no supervision or direction, • Has experience of managing a junior team to achieve the required objectives Skills we’d love to see/Amazing Extras: • Understands financial processes such as P2P, R2R, and O2C, and how to use relevant data markers from these processes to link datasets, develop ETL pipelines and identify transactions of potential concern, • Has an understanding of advanced data science techniques such as machine learning, natural language processing and statistical analysis., • Has experience of using data visualisation tools such as PowerBI, • Has experience with general ledger / ERP data as a prerequisite, with an experience of larger ERP systems such as SAP / Oracle a plus, • Has familiarity with Graph Analytics and tools/libraries such as Neo4j and NetworkX To discuss this or wider Consulting roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG. Our Locations: We are open to talk to Forensic talent across the country but our core hubs for this role are: • Birmingham, • London Canary Wharf, • Manchester With 20 sites across the UK, we can potentially facilitate office work, working from home, flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team. Find out more: Within Consulting we have a range of divisions and specialisms. Click the links to find out more below:

About the Business: LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, risk.lexisnexis.com About our Team: You’ll work within a collaborative and supportive environment to grow your personal and problem-solving skills and help deliver solutions that will go head-to-head against some of the most motivated attackers in the world to protect billions in revenue. About the Role: You will work in collaboration with our customers and account managers to maximise the value delivered by the worlds largest email based risk assessment solution. Your results will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased customer profitability. This is achieved through a range of activities. This includes proactive analysis of accounts to identify improvements, optimising the risk assessment to more accurately detect high risk transactions and providing thought leadership to customers during business reviews. We are looking for individuals with a proactive and analytical approach to problem solving, good consulting mindset and an interest to bring value to our customers. In the role you’ll experience how to leverage real-time digital identity intelligence, analysing millions of transactions per month for some of the largest companies operating in Financial Services, Insurance, e-Commerce. Responsibilities • Supporting business reviews for key accounts through the creation and presentation of analytical insights relating to the customers deployment, • Conducting proactive monitoring and analysis to ensure key customers solution performance is maintained and improved, • Performing targeted rule adjustments to help our customers address emerging risks, • Developing an action plan for key customers which improves their maturity on the solution. Providing business support through fraud analysis and research., • Conducting routine fraud review verification and ensure corrections/clarifications are made in a timely manner., • Improving fraud detection performance by optimizing the false positive/fraud capture rate. Utilize various data workflow management and analysis tools. Requirements • Demonstrate proficiency with languages such as SQL, Python, etc. and various data types and formats including, but not limited to: XML, flat files, delimited, etc, • Demonstrate proficiency with data analysis tools and processes., • Interest in working together with varied areas within the company and customers., • Show ability and desire to learn new processes, tools, and technologies., • Demonstrate good research skills and Interest in fraud analysis for real-life scenarios., • Demonstrate good oral and written communications skills in English. Other languages ideal, • Have highly proactive nature and be well organised and able to prioritise time Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: • Generous holiday allowance with the option to buy additional days, • Health screening, eye care vouchers and private medical benefits, • Wellbeing programs, • Life assurance, • Access to a competitive contributory pension scheme, • Save As You Earn share option scheme, • Travel Season ticket loan, • Electric Vehicle Scheme, • Optional Dental Insurance, • Maternity, paternity and shared parental leave, • Employee Assistance Programme, • Access to emergency care for both the elderly and children, • RECARES days, giving you time to support the charities and causes that matter to you, • Access to employee resource groups with dedicated time to volunteer, • Access to extensive learning and development resources, • Access to employee discounts scheme via Perks at Work

Risk Pricing / Technical Pricing Manager – Motor (Commercial Vehicle) UK | Primarily Remote (occasional travel to offices, either South East, London or North West) A rapidly growing UK insurer is expanding its Motor Risk Pricing team and is hiring an experienced Risk Pricing Manager to lead pricing for Commercial Vehicle products. This is a high-impact role combining technical model ownership, stakeholder influence, and the development of scalable reporting and automation. What you’ll be doing • Own and improve the end-to-end pricing process for Commercial Vehicle, • Develop and maintain risk models using traditional techniques and ML approaches., • Shape and influence key pricing and underwriting projects as a senior stakeholder., • Build automated reporting and monitoring frameworks to track pricing performance and model health., • Partnering with Data Science & ML teams, • Lead, coach and mentor team members, embedding high standards and continuous improvement. What we’re looking for • Experience managing / leading GI pricing and/or product portfolios, ideally within Motor (Commercial Vehicle preferred)., • Strong modelling background (such as): GLMs, GBMs, GAMs, Elastic Net, Trees/Random Forests, Neural Nets, Clustering., • Strong coding capability in Python / PySpark / R / SAS / SQL., • Experience with WTW Radar., • Confident communicator. Salary: £75,000 - £90,000 p/a (d.o.e) + Bonus + Benefits Please send your CV for immediate consideration

I am working with a global (Re)Insurer to hire a Senior Actuarial Analyst to support the Deputy Head of Pricing. The role will support across pricing initiatives throughout the global portfolio that covers lines of business including: Accident & Health, Liability, Property and Specialty. This is a traditional pricing role is a very successful company that does work through MGAs. The Role - • Complex Risk Pricing, • Pricing Toll Development & Improvement, • Portfolio Steering and Analytics, • Business Planning Support, • Continuous Improvement, • Contribute cross-functionally The Candidate - • Significant progression towards actuarial exams, • Pricing experience in the Lloyd's/London market, • Experience of Casualty, Marine, Aviation or Energy advantageous., • Excellent Excel skills, • Power BI and coding experience (SQL/Python) is desirable, • Collaborative mindset, open-minded, effective communication Salary - up to £80,000 Location - London (2 days a week in the office) If you have pricing experience and want more information then please reach out via email -

Graduate Data Consultant. London (Hybrid) Graduate Scheme Data & AI Salary: £24,500 during training, increasing to £32,250 within your first 6 months on client projects, and up to £45,000 within 24 months. Translate your degree into a high-growth career in Data, Analytics & AI. We’re partnering with an award-winning data consultancy that hires graduates and transforms them into world-class consultants working with leading UK brands. No prior coding background required.No Computer Science degree needed. Why join: You’ll start with a fully salaried 15-week training programme delivered by industry experts, followed by deployment onto real client projects.From day one, you’re building real skills, real experience, and a real career. What you’ll get: Paid 15-week Data & AI training (hybrid, London-based)Hands-on client projects after training. Ongoing coaching, mentorship & performance supportFast-track progression with salary reviews every 6 months. Earn £60k+ within two years if hitting targets. Opportunity to work in the US after two yearsOption to join your client permanently. Free industry certificationsInclusive benefits (mental health support, online GP, free therapy sessions, discounts, social clubs, and more) What you’ll be doing: Depending on project, you’ll work across:Data AnalyticsBusiness IntelligenceData EngineeringAI & Machine Learning. You’ll help businesses: Analyse large datasetsBuild dashboards and reportsAutomate processesCreate insight that drives decisions Tech you’ll be exposed to includes: Python | SQL | Power BI | Tableau | Excel | Cloud Platforms (No experience required all training provided.)

Title: Deal Analytics Associate / Assistant Manager / Manager Location: London (Hybrid) Salary: DOE on level. We are working with a growing Deals Analytics team looking to hire an Associate or Assistant Manager to support transaction activity through data driven analysis. This role sits alongside Transaction Services and focuses on using analytics to interrogate large financial datasets during live deal processes. Key requirements (please read carefully): To be considered, you must have: • Experience working within a Deals, Transaction Services, Financial Due Diligence or Deal Advisory environment, • Hands on experience applying analytics within live deals or due diligence processes, • Strong experience using tools such as Alteryx, Power Query, Power BI, SQL or Python, • Experience working with large financial datasets (transaction level, revenue, general ledger or similar) Applications from candidates without direct deal or deal analytics experience will not be considered for this role. Responsibilities: • Analyse large financial datasets to support buy side and sell side transactions, • Build and maintain analytics workflows to support due diligence processes, • Identify trends, risks and anomalies within financial data, • Work closely with deal teams to provide insight and support decision making This is a strong opportunity to join a growing analytics team within a deals environment, working on high profile transactions and developing your capability further.

London based Energy Trading business is now seeking to hire an Gas Analyst to join their team. You must have experience of the gas or LNG markets and be used to providing accurate market and fundamental analysis to trading teams. You will have strong analytical background, numerical and data management skills alongside strong communication skills. Candidates will ideally have energy trading experience or relevant experience from working with a consulting firm. Experience of asset optimisation and Data Analysis would also be useful. The role can be tailored to suit candidates with c 2 to 8 years relevant experience. You should also have strong IT skills including Excel, Python, VBA and SQL. This is an excellent role that will suit a high calibre analyst looking for the next step in their career.

I'm working with a world‑leading insurer to hire a Lead Pricing Actuary to lead pricing portfolios. You’ll lead a small pricing team and work closely with top‑tier underwriters to deliver high‑quality technical insight and pricing excellence. The Role • Developing and enhancing pricing models, • Supporting case pricing for major accounts, • Driving innovation in new products, • Contributing to budgeting, analysis and underwriting risk modelling, • Supporting regulatory requirements, • Improving processes, reporting and data quality across the pricing function The Candidate • FIA/FCAS (or equivalent), • 7+ years actuarial experience, 5+ years pricing in London Market, • Advanced Excel + programming skills (SQL/VBA/R/Python beneficial), • Excellent communication and stakeholder management abilities Location - London (3 days a week in the office) Salary - £120,000-140,000 If you have pricing experience then please get in touch via email -

Do you want to lead data execution for a global, PE-backed marketing business? Have you ever translated data strategy into real commercial impact? Are you ready to own analytics, insight, and AI delivery end-to-end? A global, PE-backed marketing technology company is scaling its data capability following significant investment in infrastructure and data products. Operating across multiple international hubs, the business partners with major consumer brands to deliver loyalty and rewards programmes powered by customer data. With a clear strategy already defined, they are now hiring a Director of Data to execute, optimise, and commercialise their data offering. This role focuses on delivering impact through analytics, data products, and emerging AI use cases. You will take ownership of execution, working closely with stakeholders across the business while remaining hands-on with data. Key Responsibilities • Lead execution of the data strategy across analytics and AI initiatives, • Drive data product optimisation and commercial impact from existing platforms, • Manage and scale a global data team (UK + offshore), • Deliver predictive analytics and insight to improve client outcomes, • Improve data literacy across business functions and stakeholders, • Partner with leadership to embed data-driven decision making, • Scope and implement AI and agentic use cases where relevant Key Details • Salary: £120,000 – £140,000 + bonus, • Working model: Office-first (Baker Street, ~3–4 days/week), • Tech stack: Snowflake, SQL, Python, Mixpanel, ThoughtSpot (transitioning), • Visa: No sponsorship available Interested? Please apply below.

Business Director - Marketing Science London £75,000-£85,000 We’re hiring: Business Director – Marketing Sciences (Marketing Analytics & Effectiveness) Are you a senior analytics leader who loves turning data into real business growth? We’re looking for a Business Director to lead high-impact marketing effectiveness and analytics work, partnering with senior stakeholders and shaping how data drives marketing decisions. This is a leadership role for someone who’s part strategist, part data scientist, part trusted advisor. What you’ll do • Lead complex marketing effectiveness & measurement projects (e.g. MMM/econometrics, experimentation, forecasting), • Partner with senior stakeholders as a trusted analytics advisor, • Translate business challenges into data-led solutions and products, • Shape new analytics offerings and push innovation in how marketing performance is measured, • Support day-to-day media planning & optimisation with analytical insight, • Lead and develop a team of analysts – technically and professionally, • Embed a culture of testing, experimentation and learning What we’re looking for • Strong analytical background (stats, econometrics, maths, economics, science or similar), • Extensive experience in marketing analytics / consultancy / agency-side analytics, • Proven track record delivering analytics projects that influence senior decision-makers, • Expertise in 2+ of:, • Econometrics / Marketing Mix Modelling, • Forecasting, • Machine learning for marketing, • A/B & multivariate testing, • Advanced survey analytics (segmentation, driver models, etc.), • R fluency is essential (R Shiny desirable), • Python / SQL / VBA / SPSS also a plus, • Confident communicator who can simplify complex insights for non-technical audiences, • Comfortable working independently and leading multiple workstreams Why join? • Work on meaningful, high-impact marketing challenges, • Help shape the future of analytics and effectiveness, • Lead smart people and build innovative products, • Be part of a culture that values growth, openness, creativity and development, • Strong benefits, flexibility, and support for wellbeing Interested? DM me or apply #Hiring #MarketingAnalytics #DataScienceJobs #Econometrics #MarketingEffectiveness #LeadershipJobs #AnalyticsLeadership

Product Analyst London (Hybrid – 2x Days a Week in Office) £80,000-£90,000 Sponsorship - Available The Company Are you a commercially-minded Product Analyst or Product Data Scientist looking to make an impact in a fast-growing, PE-backed consumer tech business? This is a unique opportunity to join a company in an exciting growth phase, working alongside an experienced and data-driven leadership team! The Role You’ll sit within a highly collaborative Data team and act as a key partner to Product, Engineering, and Commercial teams, using data to shape strategy, improve personalisation, and create a best-in-class experience for millions of users. This role is ideal for someone who is curious, commercially focused, and passionate about understanding user behaviour to drive measurable outcomes You’ll be responsible for: • Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy, • Designing, running, and evaluating experiments to optimise product performance and improve conversion, • Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery, • Building and maintaining dashboards and self-serve tools for quick access to core insights, • Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements Your Skills & Experience I’m looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: • Strong SQL, • Python/R experience preferrable, • Experience with dbt and modern data stacks a bonus, • A proven ability to turn data into actionable insights and communicate them clearly to stakeholders, • Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation The Benefits • Salary up to £80,000 – £90,000, • Bonus IMPORTANT NOTE • Sponsorship is available for this role How to Apply Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

Java Software Engineer with around 3-6 years professional, post-graduate experience sought by one of the original Quantitative Hedge Funds, with a 20+ year track-record. The firm are renowned for a healthy, supportive, and collegiate working environment and culture, with no siloes, boasting an industry-leading staff tenure. This hire will be part of a core Software Engineering team, responsible for the vast majority of all applications in the business from front-to-back office.This includes Order Management & Trading Execution, Risk & Finance, Straight-Through-Processing and Corporate Functions. The team deal directly with business users right across the firm, taking ownership of analysis, design, architecture, and implementation, working primarily with Java, but also with Python, SQL and to a lesser extent, MATLAB. They currently have an opening for a mid-level hire in the team, with around 4-6 years’ experience. The successful applicant should have exposure to modern software engineering techniques such as CI/CD as well as excellent Computer Science Fundamentals, OOP, Concurrency, and Java Generics. Excellent communication skills are also extremely important for the team, and a strong academic background in a numerate discipline, especially Computing / Computer Science, preferably from a leading University. This hire has been budgeted at a salary of £70-120K, plus excellent benefits and company pension contributions, along with a healthy annual bonus and an opportunity to participate in their Management Incentive Scheme. Applicants must be able to work onsite in Central London 3 or more days per week. This is an incredible opportunity to join a world-class firm and to forge a long-term career in a genuinely supportive and learning-focused working environment. Please apply below or contact for more information.

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Nelly Works are supporting a leading digital media company is hiring a senior hands-on GCP specialist to help lead a major Azure-to-GCP migration and modernization program. Overview This is a high-impact role for someone who can combine deep GCP platform expertise with practical enterprise migration experience. You’ll help shape the target cloud architecture, challenge assumptions, and guide the migration of complex workloads from Azure into GCP. NB: No visa sponsorship available We can consider contract & permanent contracts What you’ll do • Lead GCP platform and landing zone design for a large enterprise environment, • Assess current Azure workloads and recommend the right GCP services and patterns, • Support migration discovery, dependency mapping, sizing, and phased cutover planning, • Design secure, governed, and cost-conscious cloud foundations, • Work closely with internal engineering teams and external cloud partners, • Define and improve infrastructure automation, IaC, and CI/CD practices, • Help modernize applications, databases, networking, and platform operations along the way What you bring • 5 + years of hands-on experience in cloud, platform engineering, infrastructure, or DevOps, • 3 - 4+ years of deep, practical Google Cloud Platform experience, • Strong knowledge of core GCP services, including Compute Engine, Cloud Storage, VPC, Cloud IAM, and Cloud SQL or Spanner, • Experience with GCP governance, security, org policies, cost management, and VPC Service Controls, • Strong Terraform experience, • Experience supporting or leading large-scale migrations from Azure, another hyperscaler, or on-premises into GCP, • Experience in enterprise environments with multiple teams and complex stakeholder landscapes, • Strong English communication skills Nice to have • Experience mapping Azure services to GCP equivalents, • GKE / Kubernetes experience, • Azure DevOps or GitHub Actions, • Python, Bash, or gcloud scripting, • Google Cloud certifications, • Portuguese or Spanish language skills Engagement • Contract or permanent considered, • UK-based preferred, with flexible remote options across the UK and selected EU locations Why this role • Join a greenfield transformation where your decisions will matter, • Influence architecture, not just execution, • Work on a visible, multi-year cloud modernization program Location: London preferred, with one day per week in the London office ideal. Fully remote will be considered for the right candidate.

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The Sr Software Engineer will enhance Orange Logic’s software by participating in the design, development, maintenance and testing process. Your Role at Orange Logic: • Developing high quality software features and architecture that exceeds our customer’s needs, • Takes ownership of projects, including architecture, design, implementation, evaluation, optimization, testing, and deployment, • Obtains feedback from internal teams/clients to maintain/support the product development, • Writes automated Unit and Integration Tests for robust development, • Performs code reviews on other team members’ work, • Collaborates with distributed teams in France, Vietnam, and the United States Ideal Qualifications: • Bachelor’s degree in Computer Science, Mathematics or related field or equivalent experience, • Proficient with any back-end programming languages (i.e. C#, Java, Python, C++, etc.), • An understanding of complex algorithms and data structures, as well as a passion for intellectual challenges, • Strong self-discipline for delivering well-tested, complete features/modules under a tight schedule and the capability for rational thinking, • Experience with SQL relational database management systems is preferred, • Analytical mind with problem solving aptitude, • Ability to work independently Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing engineering team we’d like to hear from you. Apply today! Note: Orange Logic only communicates with candidates through official @orangelogic.com email addresses or via LinkedIn from a verified Orange Logic Talent Acquisition employee listed under “Meet the Hiring Team.” We do not conduct interviews via text message or request payment for equipment purchases at any stage of the hiring process. By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

Material Scientist with Python Experience — AI Projects About this opportunity hackajob is collaborating with one of the best platforms that connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: • Design original material engineering problems that simulate real engineering workflows, • Create problems requiring Python programming to solve engineering calculations and simulations, • Ensure problems are computationally intensive and require numerical methods or iterative solutions, • Develop problems involving system design, optimization, and analysis, • Base problems on real research challenges or practical applications from engineering practice, • Verify solutions using Python with standard engineering libraries, • Document problem statements clearly and provide verified correct answers What we look for This opportunity is a good fit for material scientists & engineers with Python experience, open to part-time, non-permanent projects. Ideally, contributors will have: • Degree in Material Science or related fields, • Python proficiency for numerical validation — MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent, • 2+ years of professional experience — applied, research, or teaching experience is applicable, • Understanding of practical engineering constraints and approximations, • Strong written English (C1+) How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations Tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Compensation Contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Other projects on the platform may offer different earning levels based on their requirements.

Astute's Renewables Team is exclusively partnering with a leading climate-focused real assets investor in the battery storage sector to recruit a BESS Technical Asset Manager for its London office.\n\nThe BESS Technical Asset Manager role comes with a competitive salary up to £80,000, private healthcare, life assurance, and the opportunity to gain direct exposure to one of the UK's leading battery energy storage portfolios.\n\nIf you're an Asset Manager with strong technical and operational experience and are looking to play a key role in the UK's energy transition, then submit your CV to apply today.\n\nResponsibilities and Duties:\n\nReporting to the Lead Technical Asset Manager, you will:\n\nBe accountable for the performance and uptime of a portfolio of utility-scale battery storage assets\nEnsure assets operate in line with all contractual, regulatory, environmental, and safety requirements\nOversee third-party O&M contractors, ensuring maintenance activities and service delivery meet agreed standards\nCoordinate external suppliers and support wider technical projects across the portfolio\nAnalyse operational data to identify performance trends and drive improvements in asset efficiency and reliability\nUse monitoring platforms such as SCADA and market data systems to track and report on asset performance\nProvide hands-on technical input where required, including site visits and engagement with external technical advisors\nCollaborate with internal stakeholders to maximise portfolio performance and support continuous improvement initiative\n Professional qualifications \n\nWe are looking for someone with the following: \n\nAround 4-6 years' experience within the energy sector, ideally across renewables, utilities, or power generation\nA background in managing or supporting operational battery energy storage assets, with exposure to performance and maintenance activities\nExperience overseeing service providers and working with operational or maintenance-related contracts\nStrong analytical capability, with the ability to interpret data and translate findings into actionable insights\nA degree or relevant background in engineering, science, or another numerically focused discipline is advantageous\nFamiliarity with asset monitoring and Programming tools (e.g. SCADA, Python, SQL or similar)\n Personal skills \n\nWe are looking for someone with the following:\n\nHighly analytical with strong attention to detail\nProactive, accountable, and solutions-driven\nComfortable operating in a fast-paced and evolving market\nA strong communicator, able to engage with a broad range of stakeholders\nCollaborative and confident in cross-functional environments\nMotivated by contributing to the energy transition\n Salary and benefits of the BESS Technical Asset Manager role \n\nSalary up to £80k depending on experience\nLondon based office (Mon-Thur with Fridays flexible)\nPension Scheme\nDiscretionary Performance related Bonus\nPrivate Healthcare\nLife Assurance\n25 days Holiday plus Bank Holidays\n\n#LI-CM1\n INDREN\n\nAstute People are acting as an employment agency in relation to this vacancy. We do not discriminate on the grounds of age, race, gender, disability, creed or sexual orientation and comply with all relevant UK legislation. We encourage applications from individuals from all backgrounds but candidates must be able to demonstrate their ability to work in the UK. Astute is also committed to the government's Disability Confident Employer initiative. We endeavour to get back to everyone, however, if you have not heard anything after 7 days, please consider your application unsuccessful

Job Title: Actuarial Pricing Analyst\n\nLocation: London / Hybrid 2 or 3 days per week\n\nContract: 6 months\n\nRates: up to £950p/d via Umbrella \n\nJob Description\n\nSRG are looking for a Pricing Actuary to going a Reinsurance Business Agility team is seeking an Actuarial Pricing Analyst to support the transformation of our global pricing capabilities through a new high-profile global Treaty Reinsurance Pricing Platform, based on hx Renew. The new cloud-based, fully integrated solution will allow Underwriters and Actuaries to move away from pricing on team-specific tools and enable enhanced risk decision-making through improved data aggregation, global pricing consistency and greater efficiency.\n\nReporting to the Pricing Platform Senior Product Owner, and working as part of an Agile team, the Actuarial Pricing Analyst will contribute both actuarial insights and detailed analysis to support the initial implementation and future enhancements of the pricing platform. They will lead on business engagement and carry out ideation and discovery work including customer experience and journey mapping, requirements elicitation, business analysis, process mapping, analysis and optimisation and other documentation tasks such as user story creation to ensure that the project outcomes are the ideal solution for the business. The actuarial nature of the role will also drive a focus on consolidating and optimising pricing models from across different classes of business within collaboration with Actuarial and Underwriting colleagues.\n\nDuties and Responsibilities \n\nPricing governance framework - Be responsible for the detailed analysis and requirements of pricing models in compliance with both internal and external standards\nUnderstanding the various pricing needs across product and region, and rationalising these onto the Pricing Platform with direction from the Product Owner\nPredictive analytics - Collaborate and influence the development and rollout of predictive models such as loss cost, submission triage, customer behaviour, credit etc. Practical application of more advanced techniques including GLMs (Generalised Linear Models) and GBMs (Gradient Boosting Machines) would be an advantage using Python & R\nReviewing the current pricing models, understanding the duplication in techniques, and recommending the best-in-class methods and optimal modularisation\nAnalysis of the pricing modules, layout, data flow, process flow and user experience within the platform for the different products and structures that will be priced\nPrototyping models working closely with the Actuaries and Underwriters\nConduct analysis work to a consistently high standard within a range of business areas, producing output to agreed timescales, and standards\nConduct analysis work to understand current state processes and to identify the "to be" future state operating models through process and technology\nIdentify the relationships, dependencies and impacts of change (highlighting options) on multiple systems and processes\nContribute to the project as required to develop proposals, requirements or other project documentation\nElicit further requirements and test / challenge assumptions using a variety of methods including interviews, document analysis, workshops and business process descriptions\nStakeholder management - support the Product Manager and Senior Product Owner to interact with all levels of management, obtain buy in and sign off and manage expectations\nContribute to the Business Solutions Team development of standards / methodology for capturing and publishing business processes, requirements and other documentation\nDefining and documenting epics, user stories, acceptance criteria, etc for complex solutions\nWork effectively as part of a project team alongside the Product Owners, Scrum master and delivery team\nAccurately identify and estimate deliverable efforts and commitments\nContribute to team sprint planning and set expectations for delivery of new capabilities, features, and functionalities.\nParticipate in team demos, retrospectives, and all other ceremonies.\nSupport creating and maintaining the backlog (including prioritization, and acceptance criteria). \n\nExperience and Qualifications\n\nQualified/newly qualified Actuary\nMinimum 5 years relevant work experience, ideally in P&C reinsurance pricing with both US and RoW experience\nRequires educational attainments: 2.1 or better in a numerate/scientific degree and an A / A* in A-Level Maths or equivalent\nExperience of Reinsurance (preferred) and/or Insurance technology solutions\nExperience of pricing platforms ideally hx Renew\nRequires knowledge of MS Excel (essential), VBA, MS Access, SQL\nExpertise and appreciation of actuarial techniques\nStrong interpersonal, verbal, written and presentation skills, communicating with a range of stakeholders\nDemonstrated ability to communicate both in business and technical terms\nGood knowledge of business functions, business operations, objectives and strategies\nGood knowledge of MS Excel to help with requirements gathering and demonstrating concepts\nDocumentation of management systems & workflow application experience\nGeneral knowledge of IT concepts, strategies and methodologies, including architectural and security concepts, systems development lifecycle, information management and portfolio management (production systems, release planning, change management)\nBPMN or similar business process modelling skillsGuidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Data Engineer \n\nFully Remote \n\n£50,000 - £65,000 + Car Allowance - £5,200 + 5% Bonus \n\n6 Month initial FTC with view to extend \n\nBrief\n\nData Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team.\n\nThe successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows.\n\nFinally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting.\n\nBenefits\n\nSalary: £50,000 - £65,000 per annum\n25 day's holiday\nCompany car / Allowance\nVariable annual bonus based 5-15%\nPension Plan\nCareer Progression \n\nWhat the role entails:\n\nSome of the main duties of the Data Engineer will include:\n\nDevelop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise.\nDesign and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making.\nLead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives.\nDemonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes.\nEnsure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. \n\nWhat experience you need to be the successful Data Engineer:\n\nProficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration.\nStrong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows.\nExperience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines.\nDeep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards.\nData pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making.\nCode development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production.\nEffective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes.\nDeep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities.\nExperience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy.\nData-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. \n\nThis really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out!\n\nServices advertised by Gold Group are those of an Agency and/or an Employment Business.\nWe will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website

This is a rare opportunity to apply serious data engineering in a domain where latency, correctness, and reliability carry direct commercial weight.\n * Requirements\n * 6+ years data engineering in production environments; Python expertise - idiomatic, well-tested, production-grade code, not notebook scripts\n * ETL/ELT pipeline design and implementation at scale; orchestration with Airflow, Prefect, or equivalent; reliability-first mindset including backfill, retry, and exactly-once semantics\n * Azure data platform - Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage; infrastructure as code for data workloads (Terraform or Bicep)\n * Databricks - Delta Lake, Unity Catalog, job cluster vs interactive cluster trade-offs, cost-aware compute management, Spark job optimisation\n * Relational databases: PostgreSQL at production scale - query optimisation, indexing strategies, table partitioning, replication, schema design for both OLTP and analytical workloads\n * MongoDB - document modelling, aggregation pipelines, indexing strategy, replica sets; clear judgment on when document vs relational storage is the right architectural call\n * Containerisation: Docker and Kubernetes-based deployment of data workloads; reproducible, environment-agnostic data infrastructure\n * Data modelling for analytical workloads - dimensional modelling, data vault, or equivalent; schema evolution, slowly changing dimensions, and downstream impact analysis\n * Stream and batch processing patterns; late data handling, watermarking, and backfill strategies; throughput vs latency trade-offs in pipeline design\n * Production data observability - data lineage, quality checks, SLA monitoring, alerting on freshness and completeness; treating data correctness as a first-class concern\n * CI/CD for data infrastructure - version-controlled pipelines, automated data quality testing, reproducible and auditable deploys\n * Ability to work directly with quant researchers, risk managers, and traders - translate business requirements into reliable, well-documented data products\n * Nice to Have\n * Financial markets data - market data feeds (Bloomberg, Refinitiv), tick data, trade history, reference data, or instrument master management\n * Apache Spark or Flink for large-scale stream and batch processing beyond the Databricks ecosystem\n * dbt or equivalent SQL transformation layer; experience building and maintaining dbt projects in a production data warehouse\n * Event streaming with Kafka or Confluent Platform - topic design, consumer group management, exactly-once delivery guarantees\n * OLAP-optimised stores - ClickHouse, DuckDB, or equivalent; understanding of columnar storage and vectorised query execution\n * Energy, commodities, or broader financial markets domain knowledge\n * What We're Looking For\n * You treat data as a product, not a side effect. You know what it takes to make a pipeline trustworthy - not just running, but observable, tested, and recoverable when something upstream changes at 3am. You think in systems: schema evolution, lineage, freshness SLAs, and the downstream impact of every modelling decision. At ETrading , that data is the foundation of billion-dollar trading decisions. You are the reason it is right.\n\nTo find out more about Huxley, please visit \n\nHuxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Senior Software Engineer | Start-up | Fintech | London\n\nAbout the Company\n\nHyre AI is partnering with a fast-growing, well-funded fintech startup building critical infrastructure for modern payment systems.\n\nThis is a business focused on one of the most pressing challenges in financial services today: helping institutions better understand and assess transactions in real time, reducing fraud, preventing scams, and enabling safer, faster payments without adding friction for genuine users.\n\nTheir platform sits at the intersection of data, intelligence, and decisioning; combining real-time analysis, multiple data sources, and adaptive systems to bring greater clarity to complex payment journeys.\n\nThey’ve already gained strong traction with major financial institutions and are now scaling both product and engineering. As part of that growth, they’re hiring a Senior Software Engineer to join a high-calibre team working across backend systems, infrastructure, and product.\n\nAbout the Role\n\nAs a Software Engineer, you’ll play a key role in building and scaling the core systems behind the platform.\n\nThis is not a narrow feature delivery role. You’ll be working on backend services, APIs, and infrastructure that power real-time decision-making systems in a high-stakes environment. The work spans backend engineering, cloud infrastructure, and product development; ideal for someone who enjoys solving complex problems with real-world impact.\n\nYou’ll be working on\n\n * \n\n Building and maintaining high-performance backend services using Python\n\n * \n\n Developing and integrating APIs that support real-time transaction analysis\n\n * \n\n Contributing to scalable cloud infrastructure using GCP and Terraform\n\n * \n\n Collaborating with front-end engineers to deliver user-facing features (TypeScript, React)\n\n * \n\n Optimising data storage and query performance across SQL-based systems\n\n * \n\n Improving system reliability, performance, and observability\n\n * \n\n Working closely with product and engineering teams to ship meaningful features quickly\n\nThis is the kind of role where you’ll gain strong ownership and exposure to both product and system design.\n\nRequired Skills\n\n * \n\n 4+ years of professional experience in software engineering\n\n * \n\n Strong experience with Python, particularly in backend development\n\n * \n\n Experience with TypeScript and/or React is beneficial\n\n * \n\n Familiarity with cloud platforms (ideally GCP) and infrastructure as code (Terraform)\n\n * \n\n Solid understanding of relational databases and SQL\n\n * \n\n A proactive, problem-solving mindset and ability to work in fast-moving environments\n\n * \n\n Curiosity, ownership, and a desire to build scalable, well-engineered systems\n\nNice to Have\n\n * \n\n Experience within fintech, payments, or data-heavy environments\n\n * \n\n Exposure to microservices architecture and containerisation (Docker/Kubernetes)\n\n * \n\n Experience with CI/CD pipelines and testing frameworks\n\n * \n\n Awareness of security best practices in modern software development\n\nCompensation package\n\n * \n\n Equity options\n\n * \n\n Hybrid working (London-based, 3+ days in office)\n\n * \n\n The opportunity to work closely with a high-performing, early-stage team\n\nWhy Join\n\nThis is a chance to work on a genuinely important problem with real-world impact.\n\nYou’ll be joining a company tackling the growing complexity of modern payments; helping financial institutions better detect risk, reduce fraud, and build more intelligent transaction systems.\n\nIf you’re looking to deepen your technical skills, work closely with experienced founders, and contribute to a product at an early and high-growth stage, this is a strong opportunity

Data Engineer for a major offshore wind project in The United Kingdom\n\nResponsibilities\n\nDesign and implement scalable ingestion pipelines from multiple source systems including and internal business data sources.\n * Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture.\n * Work within clients existing security framework to establish compliant connectivity to operational data sources.\n * Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL.\n * Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery \n * Support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling.\n * Contribute to technical documentation and ensure pipelines are maintainable and transferable.\n * Stay current on Databricks and Azure platform developments relevant to the stack.\n * Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves.\n \n Experience \n * Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.\n * Professional certifications in Azure, Databricks preferred\n * Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus.\n * 4-7 years of hands-on data engineering experience in a cloud environment.\n * Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent).\n * Proven ability to implement Medallion architecture or equivalent layered data modelling patterns.\n * Experience with REST API ingestion and integration of business systems (ERP, finance tools).\n * Experience in a contractor or project-based delivery model preferred.\n * Exposure to OT/SCADA environments or energy sector data.\n * Exposure to MLOps workflows or collaboration with data science teams

Lead Data Platform Engineer UK Remote Salary: £80,000 - £85,000 This is an opportunity to step into a highly influential Data Platform Engineering role where you will shape, optimise and own a modern Databricks Lakehouse environment. You will play a key role in driving engineering best practice, improving automation and enabling scalable data solutions across a growing data function. The Company They are a large, well‑established organisation known for combining deep technical expertise with a people‑first culture. With a nationwide presence and a modern approach to flexible working, they invest heavily in technology, innovation and colleague development. Their data function is expanding and plays a central role in supporting transformation, decision‑making and future AI initiatives. You will join a collaborative team that values engineering excellence, autonomy and continuous improvement. The Role As Lead Data Platform Engineer, you will: • Develop and deploy Databricks Lakehouse platform solutions within Azure., • Build and maintain automation for clusters, tagging, monitoring and platform operations., • Architect and design end‑to‑end data platform solutions focused on scalability, security and reliability., • Lead delivery using Databricks, PySpark, Spark SQL and Azure Data Factory., • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code., • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities., • Take ownership of key data platform projects and influence engineering direction., • Provide technical leadership and ensure standards, patterns and best practices are followed. Your Skills and Experience You will bring: • Strong commercial experience in Azure and Databricks, with deep knowledge of Lakehouse architecture., • Proficiency in PySpark, Python, SQL and Spark SQL., • Strong DevOps engineering skills including CI/CD, automated testing and deployment pipelines., • Experience with monitoring, logging and alerting solutions., • Ability to design, build and optimise cloud platform solutions., • Stakeholder management skills and confidence working across multiple teams., • API development experience., • Azure Data Factory knowledge is beneficial. What They Offer • Salary between £80,000 and £85,000 plus bonus., • Comprehensive benefits package and annual pay review., • Flexible by choice working environment with remote‑first culture., • 35‑hour working week promoting genuine work‑life balance., • Opportunities to shape platform strategy and contribute to future AI and automation initiatives. How to Apply If you are a strong Data Platform Engineer with deep Databricks expertise and want to take ownership of a modern Azure Lakehouse environment, please apply today.

Looking for A senior engineering leader who can build and scale Triple’s Forward Deployment Engineering function from the ground up. You will define how we integrate AI agents into the core systems of major banks, set the technical standard for every deployment, and grow a team of FDEs who deliver at the intersection of engineering and client success. About Triple Triple is building the intelligence platform for banking operations. We’re starting by solving one of the most painful problems in payments: dispute and chargeback management. Our AI agents automate the dispute workflows for card issuers, from intake and classification through evidence evaluation and scheme submission to Mastercard and Visa. We are also the leading transaction enrichment engine, trusted by 60+ banks and fintechs across 30+ markets. We have raised $10M in funding, an experienced team, and a large network of investors behind our company. We value getting things done. What you will do • Build and lead the Forward Deployment Engineering team: hire, mentor, and set the technical bar for engineers who work directly inside bank environments, • Define the integration architecture and reusable frameworks that allow Triple’s AI agents to connect with any core banking system, card processor, or dispute platform, • Own the technical quality of every client integration, from secure API design and data pipeline reliability to compliance with bank-grade security requirements, • Create scalable deployment tooling, integration templates, and automation that reduce time-to-live for new clients from months to weeks, • Work hands-on with the most complex integrations, setting the example for the team and unblocking critical deployments personally when needed, • Partner with Product and Engineering leadership to translate integration patterns and client constraints into platform capabilities, • Establish processes for knowledge sharing across deployments so that every integration makes the next one faster What you need • 7+ years of software engineering experience, with at least 2 years leading or managing a technical team, • Deep experience integrating with enterprise systems in financial services, payments, or similarly regulated industries, • Strong proficiency in Python and SQL. Hands-on experience with API design, data pipelines, and infrastructure automation, • Track record of building engineering teams or functions from early stage, including hiring, process design, and technical culture, • Comfortable operating in complex bank environments with layered security, compliance requirements, and multiple stakeholders, • Pragmatic engineering judgment: you know when to build for reuse and when to ship fast for a specific client, • Excellent communication skills for both engineering peers and senior client stakeholders, • English fluency required. Additional European languages are a strong plus Conditions 100% remote work. Competitive salary, equity, and generous bonuses. Travel to client sites as needed. The chance to shape how the world’s largest banks run operations with AI. Join Triple and help us build the intelligence platform for banking operations. Please kindly apply through LinkedIn

Principal AI Engineer Up to £110,000 + Bonus Hybrid | London We’re partnered with a global leader in loyalty and customer engagement, looking for a Principal AI Engineer to join their London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead the delivery of advanced AI systems that deliver real business impact. Responsibilities as a Principal AI Engineer: • Lead end‑to‑end delivery of scalable, resilient AI/ML pipelines aligned to business goals., • Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks., • Mentor engineers in ML engineering, orchestration, and modern AI best practices., • Communicate system behaviours, risks, and outcomes to both technical and non‑technical audiences., • Partner with the Head of AI Labs to turn AI research and strategy into production‑ready solutions. Key Requirements: • Proven experience designing and productionising RAG pipelines and agentic AI architectures, • Hands‑on delivery of agent‑based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production., • Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality;, • Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads., • Deep expertise in cloud‑native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‑tolerant systems. Nice-to-Haves: • TypeScript a plus; SQL proficiency for data work., • Bridges technical and business teams with ease., • Confident working with stakeholders at all levels., • Shows initiative, works independently, and brings fresh ideas., • Strong communicator able to present, guide, and influence effectively. Benefits: • Up to £110,000 + Bonus, • Flexible working options at a Central London office, • Private Health, Great pension, • Work from anywhere for 2 months of the year This is an exciting opportunity for a Principal AI Engineer to take technical authority and deliver a real word impact on at a Global business, we’d love to hear from you. **Unfortunately, due to high volume of applications, not all submissions will receive feedback

Staff Data Engineer | SQL, Python, AI-Ready Systems | Up to £150k, Remote We’re hiring a Staff Data Engineer to work directly with senior stakeholders of a company building one of the world’s largest data platforms. This role is focused on solving complex, real-world data problems not dashboards or standard analytics. This is a high-impact IC role with real ownership over core data systems. You’ll be working with messy, multi-source data (global company and ownership data), and will own how that data is structured, cleaned, and made usable across the business and for AI systems. What you’ll be doing: • Designing robust data models for complex, inconsistent datasets, • Handling challenges like deduplication, identity/entity resolution, and data quality, • Building scalable pipelines with SQL, Python, and modern data tools, • Structuring data so it’s reliable, explainable, and AI-ready (LLMs/RAG) What they’re looking for: • Strong SQL + Python experience, • Background in data engineering or analytics engineering at scale, • Experience working with messy or multi-source datasets, • Someone who cares about data quality, correctness, and real-world meaning, • Bonus: experience in fintech, risk, identity, or similar complex data domains Remote £120k–£150k Staff Data Engineer | SQL, Python, AI-Ready Systems | Up to £150k, Remote

Job Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field, • Fluent English (written/spoken), • Strong hands-on experience on Python, SQL, No SQL., • Hands on experience in coding (mandatory python and SQL or C++)., • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

📍 Remote | Full-Time | UK 🏴 🚀 The Client🚀 A well-funded, AI-native SaaS company is transforming the insurance industry by enabling smarter, faster, and more equitable underwriting decisions. Backed by leaders behind companies like Salesforce, Veeva, Zoom, and Box, the team is building a platform that embeds intelligent decision-making directly into workflows - helping insurers navigate today’s biggest challenges. 🧑 💻 The Role 🧑 💻 We are seeking a Senior Forward Deployed Engineer to design and deliver complex enterprise implementations while working closely with customers, engineering, and product teams. This role combines hands-on software development, technical consulting, and solution architecture to deploy AI-powered products in real-world environments. 🛠 Responsibilities 🛠 • Lead planning, scoping, and delivery of complex customer implementations from discovery through launch, • Act as the technical escalation point for integration and implementation challenges, debugging complex issues and designing robust solutions, • Run technical discovery sessions with customers, translating ambiguous requirements into clear technical solutions, • Design implementation approaches and influence architectural decisions based on real-world deployment needs, • Collaborate closely with Product, Engineering, Customer Success, and other cross-functional teams to align product capabilities with customer requirements, • Build internal playbooks, improve delivery processes, and mentor junior engineers, • Communicate technical insights and recommendations clearly to customers and internal stakeholders to help guide product improvements, • Write and debug production code for customer deployments and internal tooling using Python, JavaScript, and SQL 🎯 Qualifications 🎯 • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 6-8+ years of software engineering, systems engineering, or technical product/program management experience 🧩 Required Skills 🧩 • Deep expertise across multiple product domains; ability to debug complex integrations and build custom solutions., • Strong communication skills — able to lead discovery sessions, manage client expectations, present technical tradeoffs, and influence stakeholders., • Demonstrated track record mentoring or leading other engineers, creating documentation/playbooks, and contributing to internal process improvements and knowledge sharing., • Cross-functional coordination skills, organizational leadership in delivery settings, and ability to own multiple customer timelines concurrently., • Coding competency in SQL, JavaScript and Python. If you're excited about driving AI-powered transformation 🤖, solving real-world problems at scale, and leading high-impact programs in a fast-scaling environment - Hit Apply!

At Orange Logic, we’ve been solving complex content challenges for over two decades—driven by innovation, curiosity, and a passion for impact, our intelligent Digital Asset Management (DAM) system, Orange Logic Platform, empowers organizations across industries to manage, access, and leverage their digital assets more effectively. We’re not just building powerful software—we’re building a team of bold thinkers, collaborators, and problem-solvers who care deeply about delivering real value. The Site Reliability Engineer (SRE) is responsible for ensuring the availability, reliability, and optimal performance of critical platform services and applications across Orange Logic’s global infrastructure. This role involves proactive monitoring, incident response, root cause analysis, and continuous improvement to meet internal and external user requirements. The SRE will collaborate closely with infrastructure, development, and operations teams to maintain service excellence in a remote, cloud-based environment. Essential Functions: Application and System Support: • Monitor, administer, and troubleshoot application performance and infrastructure health using observability tools., • Analyze and resolve application issues, provide timely status updates, and perform thorough root cause investigations., • Respond to alerts, outages, and system degradations, executing recovery procedures and supporting post-incident reviews., • Implement and manage infrastructure using Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Puppet., • Administer cloud-native services (e.g., EC2, S3, RDS, Kubernetes) on AWS, Azure, or Google Cloud., • Develop and maintain automation scripts to streamline deployments, configuration management, and repetitive tasks., • Deploy and maintain application monitoring tools such as Prometheus, Grafana, and ELK stack., • Plan and execute application and configuration change procedures with minimal disruption., • Support scheduled maintenance activities including patching, updates, and server health checks., • Collaborate with Development, Infrastructure, and Production Support teams to optimize system performance and scalability., • Identify and implement process improvements to enhance service reliability and deployment efficiency., • Stay informed on the latest industry practices and tools related to site reliability, DevOps, and cloud infrastructure. Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • 8+ years of experience in site reliability, DevOps, or production engineering roles with increasing responsibilities., • Strong knowledge of distributed systems, cloud platforms (AWS, Azure, GCP), and containerized environments (Docker, Kubernetes)., • Proficient in SQL and scripting languages (Python, Bash, PowerShell)., • Extensive experience with observability stacks and automated alert systems., • Familiarity with web protocols, networking fundamentals, and API performance optimization., • Demonstrated ability to lead cross-functional initiatives and influence without authority., • Excellent verbal and written communication skills with a focus on clarity and action., • Experience mentoring engineering teams and conducting architectural or reliability reviews. Perks of joining the team: • Competitive compensation and benefits designed to support you now and as you grow, • Join a high-growth company where your work directly shapes the product, the team, and your long-term career trajectory How to get started: If you’re up for the challenge to be part of a growing engineering team we’d like to hear from you. Apply today! Note: Orange Logic only communicates with candidates through official @orangelogic.com email addresses or via LinkedIn from a verified Orange Logic Talent Acquisition employee listed under “Meet the Hiring Team.” We do not conduct interviews via text message or request payment for equipment purchases at any stage of the hiring process. By submitting this application, I certify that all information provided herein is true, accurate, and complete to the best of my knowledge. I understand that any false or misleading information may result in disqualification from consideration or, if discovered after acceptance, may lead to immediate dismissal. Orange Logic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees. We respect your privacy. Learn more about how we handle applicant data in our ___.

Lead Product Engineer | Technical Lead | Product Technical Lead | AI/ Data Science | Python | FastAPI | SaaS | Hybrid 2 days a week | Central London | £85,000 + 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central Government organisations but they also have strong ties with Defence and Telco. They have experienced impressive growth over the last few years being named 14th fastest growing small Tech business in the UK by FT and as a result they are involved in some of the most challenging yet rewarding large scale technical projects in the country. Currently they need a Technical Lead for their mature AI product, this role will begin with an internal focus but as time progresses you will also help their clients to implement and utilise the product to its fullest. Key skills • Strong software engineering skills, delivering end-to-end software products., • Highly product orientated., • Highly skilled in Python development, with knowledge of FastAPI framework., • Good databases knowledge with schema design and SQL., • Some front-end development preferably TypeScript & React is highly desirable., • Experience of designing scalable systems and working with CI/CD pipelines., • Experience in data-driven applications, cyber security, or SaaS platforms is beneficial. This role requires SC clearance preferably you will already have this but otherwise due to the nature of the work you must be a British Citizen to be successful in your application, if you think you are a good fit please reach out. Technical Lead | Product Technical Lead | Tech Lead | AI/ Data Science | Python | FastAPI | SaaS | Hybrid 2 days a week | Central London | £85,000 + 15% bonus

Location: Bristol, Cambridge, London, Manchester Position Summary Connect to your Industry Do you want to be at the heart of some of the biggest and most ambitious programmes undertaken to keep our country safe? We are proud of the impact we have with our Defence & Security clients, the strength of our relationships, and the variety of our skills and expertise that we bring to help them achieve their mission. We’re growing our teams across all of Technology & Transformation. If you are cleared to DV level, and want to grow your career in this sector, we are very keen to hear from you. Connect to your career We drive progress. Using our vast range of expertise, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values guide every decision we make and action we take, helping us deliver impact where it matters most. Connect to your opportunity We're looking for people who are natural initiative-takers—individuals who bring out the best in others, are brilliant listeners, and can help grow our business without compromising standards, integrity, or culture. We are seeking a highly skilled and motivated Full Stack Developer to join our dynamic team in the public sector. The ideal candidate will possess a strong background in both front-end and back-end development, with a focus on creating innovative and efficient solutions for government-related projects. The successful candidate will play a key role in designing, implementing, and maintaining web applications that address the unique challenges and requirements of Defence & Security. Responsibilities: • Design, develop, and deploy robust web applications for public sector projects., • Contribute to the entire software development lifecycle in collaboration with cross-functional teams., • Create responsive user interfaces using modern front-end technologies and frameworks., • Develop secure and efficient server-side logic using relevant languages and frameworks., • Implement security best practices, ensuring compliance with government regulations., • Conduct regular security assessments and collaborate to address vulnerabilities., • Develop and maintain well-documented RESTful APIs for seamless system communication., • Work with project managers, UX/UI designers, and stakeholders to translate requirements into technical specifications. All applicants must hold (or be willing to obtain) UK security clearance to Developed Vetting (DV) level. Essential skills: • Proficient in modern front-end technologies: HTML5, CSS3, JavaScript, and frameworks like React, Angular, or Vue.js., • Strong skills in server-side logic using languages such as Node.js, Python, or Java., • Experience with both SQL and NoSQL databases, including data modelling for government applications., • Proficient in analyzing complex issues and implementing effective solutions for public sector challenges., • Flexibility to navigate changing project requirements in a dynamic public sector environment., • Familiarity with government processes, policies, and systems, enhancing the ability to tailor solutions to public sector needs., • Understanding of UX principles to create applications that are accessible and user-friendly for government officials and the public., • Proven ability to develop and maintain well-documented RESTful APIs for seamless system communication., • Experience with implementing and adhering to security best practices for government data.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Senior Python Quantitative Developer sought by a specialist and multi-award-winning Systematic Hedge Fund in a brand-new Core team designing and implementing a greenfield centralised Python/SQL/Linux/Docker platform for Backtesting, Pricing, Risk and Performance to be used across all Funds and Investment teams. Our client is an early Quantitative Investment Firm, managing around $10BN+ and with a focus on Scientific Investing and new ideas. They also boast a rare and highly reputable culture and working environment geared towards collaboration and communication, with zero siloes, and industry-leading tenure. The firm totals around 150 staff, all of whom are office-based three or more days per week. This is a more technical Senior QD role which will involve collaborating with Quantitative Researchers and Portfolio Managers to architect, design and implement scalable solutions, addressing complex business needs. Primarily, you will be charged with delivering and maintaining critical components of the investment infrastructure, including the Data Interface Layer, Central Risk Calculations, and Backtesting Frameworks which will be a key tool for the Investment teams. Essential Skills & Experience: • Excellent Quant Development and Python skills, as per 3+ years of professional experience in Financial Markets, ideally in a Systematic Hedge Fund and/or dealing with Futures., • Quantitative Finance experience and knowledge, preferably with experience in developing financial Backtesting systems for Quantitative Strategies., • Hands-on experience with continuous integration and delivery systems such as Jenkins and GitLab CI/CD and a strong understanding of Software Development Life Cycle (SDLC) best practices, with knowledge of SQL, Linux and ideally Docker., • PhD/MSc level education in a numerate discipline from a top institution., • MATLAB experience highly desirable. This is an outstanding opportunity to join a world-class boutique Systematic Investment business, playing a key role in the delivery of a crucial core platform for use by cross-functional teams across multiple investment platforms.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Title: Python Engineer Salary: Up to £60,000 Location: Bristol (On-site) Are you a Python Engineer looking to work on complex, high-impact data problems in a fast-moving and innovative sector? I'm working with a market-leading trading firm at the heart of the UK's energy transition. They use advanced forecasting and trading technology to help balance the National Grid, playing a crucial role in supporting the UK's decarbonisation efforts. This is a small, highly skilled team where technology and trading go hand in hand. You'll be building and optimising the internal data infrastructure that powers critical trading decisions. This is a hands-on role with real impact, and your work will be used daily by traders and data scientists. What they're looking for: Strong skills in Python and SQL Experience building end-to-end data pipelines (streaming or batch) Solid understanding of AWS (EC2, ECS, RDS, S3) 2+ years of relevant experience in data engineering Great communication skills - comfortable collaborating with traders, devs, and data scientists Happy to work onsite in central Bristol most of the time Nice to have: Experience in trading, betting or energy markets AWS data engineering tools, Docker, DevOps or Apache suite Analytical background and data modelling experience Why this role? Private medical, dental & life assurance 30 days annual leave + public holidays Cycle-to-Work scheme Annual company ski trips & regular socials Further training & development opportunities Direct access to leadership - no red tap This is a brilliant opportunity to work with cutting-edge data systems that directly impact trading strategy in a company where your ideas will be heard and your work will make a difference. If you're interested in this role, or know someone who would be, then please apply to this role and reach out to a. methula@io associates.co. uk TPBN1_UKTJ