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Job Title: B2B Applied Analyst – Marketing Analytics & Channel Insights \n Location: Shoreditch (Hybrid – 3 days per week onsite) \n Duration: 12 months contract initially \n Max. Budget: £96k per annum + paid holidays + pension or £500 per day Inside IR35 \n \n The Opportunity: \n\n • The Growth Marketing & Insights (GMI) organization provides objective marketing analysis and performance measurement to support client’s business objectives. Within GMI, the B2B Applied Analytics team helps B2B Marketing teams make better decisions by delivering clear, practical insights into marketing performance, channel effectiveness, and audience engagement.\n, • We are looking for a B2B Applied Analyst to support the measurement and analysis of B2B marketing performance across channels and programs. This role focuses on understanding what’s working, where to optimise, and how marketing activity contributes to pipeline and growth. It blends strong analytical skills with hands‑on tooling, collaboration, and clear communication.\n\n \n What you will do: \n\n • Analyse marketing performance across channels such as paid media, email, ABM, events, and web, identifying drivers of engagement, conversion, and lead quality.\n, • Support full‑funnel analysis, including pipeline contribution, conversion rates, and MQL/MQA performance across demand generation and ABM programs.\n, • Develop and maintain measurement frameworks for campaigns, channels, and audiences to ensure consistent and meaningful performance tracking.\n, • Produce channel‑ and program‑level insights to support budget decisions, planning, and optimisation discussions.\n, • Build and maintain dashboards and reports (primarily in Power BI) that enable marketers to understand performance and make informed decisions.\n, • Partner with Marketing Operations and Campaign teams to support planning, execution, and post‑campaign reviews.\n, • Contribute to attribution and incrementality analysis to better understand true marketing impact.\n, • Provide ad‑hoc analysis to support in‑flight optimisation and stakeholder questions.\n, • Support efforts to improve data quality and consistency across marketing systems (e.g. campaign structure, tracking, attribution inputs).\n, • Help automate and scale reporting and insight delivery over time, reducing manual effort and improving speed.\n, • Drive cross-functional collaboration within Marketing to ensure insights are adopted and influence decision-making.\n, • Deliver insights through clear storytelling and visualization, tailored to executive, operational, and marketing audiences.\n\n \n What you need to succeed: \n\n • 8+ years’ experience in B2B marketing analytics, campaign measurement, or marketing performance analysis.\n, • A solid understanding of B2B demand generation, paid media, and ABM measurement.\n, • Experience working with Power BI for analysis and dashboarding.\n, • Familiarity with key marketing and sales platforms such as Adobe Analytics, Adobe Experience Platform, Salesforce (SFDC), and/or Dynamics.\n, • Comfortable working with SQL and Excel; experience with Python or R is a plus.\n, • Ability to translate data into clear insights and practical recommendations.\n, • Strong communication skills and confidence working with marketing stakeholders.\n\n \n Nice to Have: \n\n • Degree or equivalent experience in Marketing, Analytics, Statistics, Finance, Computer Science, or a related field.\n, • Exposure to attribution models, incrementality testing, or experimentation.\n, • Interest in workflow automation, agentic AI, and emerging analytics capabilities.\n\n

Lead Software Engineer / Deep Tech / London (On-site) | up to £150k + equity \n \n The company \n A London deep tech company building the software backbone for the autonomous age. Their platform lets operators orchestrate fleets of robots, sensors and autonomous systems, fuse the vast data they generate, and turn it into decisions made faster than any adversary can react. Real systems, deployed in the world's most demanding environments, relied on when it actually matters. Well funded, scaling hard, and engineering led to the core. \n \n The problem space \n This is not CRUD. You'll be architecting systems that ingest and fuse high volume, heterogeneous sensor streams in real time, coordinate autonomous agents over unreliable and contested networks, and surface complex state to operators through interfaces that have to be right the first time. Think low latency distributed systems, resilience under partition, and correctness guarantees where the cost of a bug is not a bad quarter. \n \n What you'll actually do \n\n • Own a core technical domain of the flagship platform end to end, architecture, hard technical decisions, and delivery.\n, • Design distributed, fault tolerant services that stay correct and performant under adversarial, resource constrained, and intermittently connected conditions.\n, • Build the data layer that turns raw multi source sensor feeds into a coherent, queryable, real-time picture.\n, • Set the engineering bar: system design, code review, testing strategy, and the DevSecOps and database practices the team builds on.\n, • Operate as a player / coach, hands-on in the codebase daily, while mentoring and levelling up a small team of strong engineers.\n\n \n The stack / the shape of you \n You're deep in at least one server-side language, C++, Rust, Java or Python, and you reason fluently about concurrency, memory, and performance. You've designed distributed systems, not just used them. You care about the data layer (PostgreSQL and friends) and you think about security as a first class concern, not an afterthought. Bonus points for embedded / resource constrained targets, Kubernetes, streaming pipelines, or having shipped things that run somewhere hostile. \n \n Managed small teams or mentored juniors, you could be an interesting fit. \n \n The realities \n\n • On site in London, by default. This team ships together in a room.\n, • Been in the UK for the last 5 years, in order to obtain the necessary qualification for the business.\n\n \n The offer \n Up to £150k base, meaningful equity, and the rare thing: a staff level seat where your architecture decisions ship into systems that matter, at a company early enough that you shape what it becomes. \n \n Even if you feel like you are not fully qualified, we encourage you to apply. \n \n #deeptech #AI #c2

Quantitative Research & AI Solutions Consultant London | AI Studio | Full-time | Hybrid (3 days in-office) \n \n What if your market research didn't just inform a client's strategy — it also shaped the AI tools used to deliver it? \n \n Our client, a respected, employee-owned advisory firm (PR&Comms) working with clients at the frontier of technology, is looking for a quantitative researcher to join a growing team at the intersection of research and AI. Research depth and AI/coding capability are equally core to this role — you won't be leaning on one to cover for the other. \n This is a rare opportunity to shape how a respected advisory firm uses AI in practice, working across both classic research methods and some of the newest measurement techniques in the field. \n \n What you'll do \n\n • Design and deliver primary quantitative research — including message testing and tracking studies — that shapes client strategy\n, • Work on the computational, content-analysis side of the practice: media measurement, social and media listening, and analysing how clients show up in AI search — a fast-growing, distinctive part of the role\n, • Commission and manage fieldwork and third-party suppliers\n, • Use R or Python fluently, with the judgement to direct, read and sanity-check AI-generated ("vibe-coded") code — hand-coding everything from memory matters less than knowing what good output looks like\n, • Contribute to building novel measurement methodologies as the team's remit grows\n, • Turn research findings into clear, actionable recommendations for senior client stakeholders\n\n \n Recent examples of the kind of work you'd be doing: \n\n • Helping a research organisation understand what drives its reputation in AI search\n, • Helping a large tech company navigate a strategic governance decision\n, • Mapping the media conversation around a tech client's highest-priority issue\n, • Helping an investor understand its positioning in the market\n\n \n What we're looking for \n\n • Strong quantitative research experience — comfortable with methods like message testing and tracking studies, and turning findings into strategic recommendations\n, • Fluency in R or Python, and genuine comfort directing and sanity-checking AI-generated code rather than only hand-coding from scratch\n, • Curiosity about computational and content-analysis research — media measurement, social listening, or similar — even without direct prior exposure to this exact type of work\n, • A decent working understanding of communications and policy, so you can operate credibly with clients and colleagues\n, • Corporate research agency experience is a plus but not essential — we're equally open to backgrounds in management consulting or in-house corporate insight teams\n\n \n What's on offer \n\n • Employee ownership — everyone shares in the firm's success\n, • A twice-yearly bonus based on company and individual performance\n, • Private healthcare and dedicated mental health support\n, • 26 days' holiday plus public holidays\n, • Visa sponsorship available for the right candidate\n, • Hybrid working, three days a week in the London office\n\n \n We know profiles like this rarely tick every box on paper. If you're excited by the role and meet most of what's above, we'd love to hear from you — get in touch confidentially to find out more, including the client's identity and full compensation details. \n \n Nicholson Glover is a specialist recruitment consultancy founded in 2002. We focus exclusively on four disciplines: Customer Research & Insight, Strategy & Innovation, Data, Analytics & AI, and Product & Technology — placing mid-to-senior professionals with agencies, consultancies, corporate teams, and venture-backed businesses. Speak to us: francis@nicholsonglover.co.uk

Quantitative Analyst \n London | £70,000 - £140,000 + Bonus & Benefits | 5 days a week onsite \n \n Love sport, statistics, and solving difficult problems? This is an opportunity to join a specialist sports trading firm where your models and research will directly influence trading decisions across global sports markets. Whether you're coming from academia, research, data science, or another quantitative background, they're looking for people who are genuinely passionate about maths, statistics, and sport. \n \n The Company \n They are a growing quantitative sports trading and investment firm based in Central London. With a collaborative team of researchers, analysts, and engineers, they use data-driven models to identify opportunities across a range of global sports markets. \n The environment is highly analytical but far from corporate. You'll have plenty of autonomy, the opportunity to learn from experienced quants, and the chance to make a real impact from day one. Despite their growth, they have maintained a strong culture with excellent retention across the business. \n \n The Role \n As a Quantitative Analyst, you'll develop predictive models that forecast the outcomes of sporting events and help drive trading performance. \n You'll be responsible for: \n\n • Building statistical and mathematical models using real-world data\n, • Researching new approaches to improve forecasting accuracy\n, • Applying probability, statistics, and quantitative techniques to challenging problems\n, • Writing high-quality Python code\n, • Testing and validating models using large datasets\n, • Working closely with researchers, traders, and engineers to improve existing strategies\n\n \n This is a role for someone who enjoys digging deep into data, exploring new ideas, and continuously improving models in a highly competitive environment. \n \n Your Skills & Experience \n\n • Strong background in Mathematics, Statistics, Physics, Engineering, Computer Science, or another quantitative discipline\n, • MSc or PhD preferred, although exceptional candidates from other backgrounds will be considered\n, • Strong understanding of probability, statistics, and mathematical modelling\n, • Experience working with real-world data and quantitative research\n, • Strong Python skills\n, • Evidence that you've developed deep expertise in a highly technical area\n, • Curiosity, strong problem-solving ability, and attention to detail\n, • A genuine interest in sport is important, whether that's through playing, following, analysing, or working within sport-related environments\n\n \n Sports trading experience is a bonus, but absolutely not a requirement. \n \n What They Offer \n\n • £70,000 - £140,000 depending on experience\n, • Performance bonus paid twice a year\n, • Private healthcare\n, • Pension scheme\n, • Gym membership, including flexibility to train during the working week\n, • Clear progression opportunities as the team continues to grow\n, • A collaborative environment with high levels of autonomy and ownership\n\n \n How to Apply \n If you're passionate about sport and enjoy applying maths, statistics, and Python to solve complex real-world problems, apply today to find out more about this Quantitative Analyst opportunity.

North Co Recruitment are working with a leading UK health insurer to appoint a Senior Technical Pricing Analyst into their pricing team. This is a role for someone who wants to push pricing models forward with modern data science techniques rather than maintain legacy approaches, with genuine scope to mentor junior colleagues and shape best practice across the team. \n \n What you'll do \n\n • Build and evolve pricing risk models using advanced data science techniques, including GBMs, to sharpen claims prediction across Individual, SME and Corporate portfolios.\n, • Lead analysis of risk mix, claims trends, inflation and new treatment costs, working closely with Reserving and Claims Analytics teams.\n, • Own documentation and governance for model approval ahead of deployment.\n, • Test new data sources, factors and feature engineering to continually improve model predictiveness.\n, • Present model performance against agreed KPIs to key stakeholders.\n, • Mentor junior analysts, embedding best practice across the pricing team.\n\n \n What we're looking for \n\n • Significant experience working with claims data and applying modelling techniques within insurance.\n, • Strong programming skills in at least one language, ideally Python.\n, • Experience using Radar or a similar tool such as Earnix.\n, • Exposure to Databricks and Power BI would be an advantage.\n, • A numerate degree (2:1 or above) in mathematics or a related discipline.\n, • Knowledge of actuarial techniques, such as reserving.\n, • Outstanding communication skills, with the ability to translate technical concepts for a range of stakeholders.\n, • Hybrid working applies, with a mix of home and office-based collaboration.\n\n \n If you're looking for a senior pricing role with real ownership of model development, exposure to modern data science techniques, and the chance to mentor others, we'd be keen to speak. \n \n Salary: £55,000 - £75,000 base, plus discretionary bonus \n Location: Hybrid, Tunbridge Wells Based. \n \n Please note, the client is unable to offer sponsorship for this opportunity. \n For more information or to discuss other opportunities, reach out to Tom Parker, visit our website or follow our LinkedIn page.

About the team \n Elsevier’s mission is to help researchers, clinicians, and life sciences professionals advance discovery and improve health outcomes through trusted content, data, and analytics. \n \n This role sits within Elsevier’s Platform Data Science organization, a centralized AI and data science group responsible for advancing intelligent discovery, retrieval, and generative AI capabilities across Elsevier products and platforms. The organization develops foundational AI technologies that power experiences such as LeapSpace, Elsevier’s AI-powered research assistant, as well as Elsevier’s broader Search & AI Platform. \n \n The Platform Data Science organization works at the intersection of: \n\n • Search and retrieval systems\n, • Generative AI and LLM applications\n, • AI evaluation and experimentation\n, • Semantic enrichment and knowledge systems\n, • Scalable AI platforms and intelligent workflows\n\n \n About the role \n We are looking for a Data Scientist III to help design, build, and evaluate advanced AI capabilities supporting LeapSpace and Elsevier’s Search & AI Platform initiatives. This role focuses on applied AI development, retrieval systems, and AI evaluation, helping bring cutting-edge AI technologies into production experiences used by researchers worldwide. \n \n You will work closely with senior data scientists, engineers, product managers, and domain experts across retrieval systems, generative AI, reasoning workflows, evaluation frameworks, and experimentation, contributing to the next generation of AI-powered scientific discovery tools. \n \n This role is ideal for someone with hands-on experience in applied AI, NLP, information retrieval, and LLM-based applications, who enjoys building innovative solutions and translating emerging AI techniques into impactful product capabilities. \n \n Key responsibilities \n Applied AI & Research \n \n\n • Develop and improve LLM-powered research workflows, including:Scientific question answeringLiterature summarizationSemantic exploration and discoveryResearch insight generationCitation-aware retrieval and reasoning workflows\n, • Build and iterate on agentic and multi-step AI workflows using frameworks such as LangGraph and related orchestration tools.\n, • Apply modern techniques in:NLPGenerative AIEmbeddings and semantic representationsRetrieval-augmented generation (RAG)AI reasoning and workflow orchestration\n, • Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption.\n, • Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts.\n, • Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows.\n\n \n Search, Retrieval & RAG Systems \n\n • Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.\n, • Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content.\n, • Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality.\n, • Support development of semantic search, ranking, and knowledge discovery capabilities.\n, • Collaborate with engineering teams to deploy and scale AI-powered solutions.\n\n \n AI Evaluation & Experimentation \n\n • Develop and apply evaluation frameworks for search and AI systems, including:IR metrics (e.g., NDCG, recall, precision)LLM and RAG evaluation metrics (e.g., grounding, faithfulness, hallucination detection)\n, • Build and maintain evaluation datasets, benchmark suites, and annotation workflows.\n, • Conduct offline experiments and contribute to online experimentation and A/B testing.\n, • Analyze experimental results and communicate findings to stakeholders.\n, • Contribute to responsible AI practices focused on quality, reliability, and trust.\n\n \n Cross-functional Collaboration \n\n • Partner with product managers, engineers, UX researchers, and domain experts to deliver AI-powered capabilities.\n, • Communicate technical findings and recommendations clearly to both technical and non-technical audiences.\n, • Contribute to knowledge sharing and adoption of best practices across the Platform Data Science organization.\n, • Support delivery of projects from research and experimentation through production deployment.\n\n \n Required qualifications \n\n • Batchelor's, Master’s or PhD in Computer Science, Data Science, Machine Learning, NLP, Information Retrieval, or a related field\n, • Experience in data science, machine learning, applied NLP, information retrieval, generative AI, or a related field\n, • Hands-on experience with:LLM-based applications and generative AI systemsRAG pipelines and retrieval systemsSearch and retrieval architectures (lexical, vector, hybrid)Evaluation methodologies for IR and generative AI systems\n, • Strong programming skills in Python\n, • Experience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)\n, • Experience working with Databricks or similar distributed data and machine learning platforms\n, • Understanding of experimentation methodologies, evaluation frameworks, and statistical analysis\n, • Proficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn)\n, • Demonstrated ability to independently execute technical projects and contribute to cross-functional initiatives\n\n \n Preferred qualifications \n\n • Experience building AI assistants, agentic workflows, or conversational AI applications\n, • Experience working on search, ranking, recommendation, or retrieval systems\n, • Familiarity with scientific, biomedical, or scholarly datasets\n, • Experience with knowledge graphs, ontologies, or semantic enrichment systems\n, • Exposure to production ML systems and MLOps practices\n, • Academic or industry research experience in NLP, information retrieval, search, or generative AI\n, • Experience working in content-rich, knowledge-intensive, or highly regulated domains\n\n \n Working for you \n We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: \n\n • Comprehensive Pension Plan\n, • Home, office, or commuting allowance.\n, • Generous vacation entitlement and option for sabbatical leave\n, • Maternity, Paternity, Adoption and Family Care leave\n, • Flexible working hours\n, • Personal Choice budget\n, • Internal communities and networks\n, • Various employee discounts\n, • Recruitment introduction reward\n, • Employee Assistance Program (global)\n\n \n About the business \n As a global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education, and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. \n

About the Role \n \n We're scaling fast, and our internal systems need to scale faster. We're looking for an AI Operational Excellence Engineer to be the force multiplier behind our internal operations. Someone who identifies friction across the business and builds AI-powered systems, agents, and automations to eliminate it. This is a hybrid builder/strategist role: part engineer, part process owner, part internal consultant. \n \n What You'll Do \n \n\n • Audit internal workflows (ops, support, finance, GTM, People) to find high-leverage automation opportunities.\n, • Design, build, and deploy AI agents and automations (LLM-powered tools, workflow orchestration, internal copilots) that remove manual bottlenecks.\n, • Partner with functional leads to translate messy, ambiguous processes into reliable, scalable systems.\n, • Own key operational metrics (cycle time, error rate, cost-per-process) and drive measurable improvement.\n, • Evaluate and integrate AI/automation tooling (internal builds vs. vendor tools) with a bias toward speed and pragmatism.\n, • Build internal dashboards and monitoring so leadership has real-time visibility into operational health.\n, • Establish scalable playbooks and documentation so improvements survive hypergrowth headcount changes.\n, • Act as an internal "AI enablement" resource, training teams to use and trust new tools.\n\n \n What You Bring \n \n\n • 3–6+ years in ops, automation engineering, data/analytics engineering, or a technical BizOps role.\n, • Hands-on experience with LLM APIs, agentic frameworks, or workflow automation tools (e.g., Python, Zapier/Make, internal tooling, RAG pipelines).\n, • Strong SQL and scripting skills; comfortable moving between spreadsheets, code, and no-code tools as the situation demands.\n, • A track record of shipping things that actually get adopted. Not just prototypes.\n, • Startup instincts: comfortable with ambiguity, fast iteration, and owning problems end-to-end.\n, • Sharp process thinking. You can spot the real bottleneck, not just the visible symptom.\n\n \n Nice to Have \n \n\n • Experience in a hypergrowth SaaS environment.\n, • Exposure to RevOps, FinOps, or Support Ops specifically.\n, • Experience building internal tools used by non-technical teams.\n\n \n Why This Role Matters \n \n At this stage, every hour of manual work is an hour not spent on growth. You'll have direct executive visibility, real autonomy, and the mandate to rebuild how the company operates using AI as your primary lever. \n \n Interested in this £125,000+ and equity position? \n \n Please share a CV and short covering letter. That's right you don't go fishing without a hook.

BettingJobs is seeking a Data Engineer to join a small but growing quant team in the sports betting industry. \n \n Working alongside the modelling team, you will be responsible for ensuring they have access to reliable, well-structured and high-quality data for research, modelling and analysis. From building robust Python-based workflows to investigating complex data issues and assessing new data sources, the Data Engineer will be responsible for extracting maximum value from the data. \n \n Responsibilities: \n \n\n • Work day-to-day with quant modellers to prepare, refine and maintain datasets used for research, modelling and analysis\n, • Investigate data issues affecting modelling outputs, identifying root causes and working with relevant teams to resolve them\n, • Build and maintain Python-based data workflows and pipelines for ingestion, transformation and validation of modelling data\n, • Maintain and develop historical data assets, ensuring they remain accurate, accessible and fit for analytical use\n, • Work with engineers to improve upstream and downstream data flows, ensuring critical data is captured and processed effectively\n, • Ensure data quality and integrity through validation, reconciliation and targeted monitoring across key datasets\n, • Expand visibility into data issues by improving checks, alerts and investigative workflows across critical pipelines\n, • Define and improve data logic, transformations and assumptions, ensuring they are clearly documented and consistently applied\n, • Support data migrations, backfills and structural improvements to improve the reliability of modelling datasets\n, • Contribute to tooling and processes that make it easier to explore, prepare and troubleshoot data used by the quant team\n\n \n Requirements: \n \n \n\n • Strong experience in a Quant Data Engineer, Research Data Engineer or similar role working with complex datasets\n, • Understanding of the sports betting industry\n, • Strong Python skills for data processing, investigation and workflow development\n, • Excellent SQL skills and solid experience with relational databases, preferably PostgreSQL\n, • Proven experience preparing, transforming and validating datasets for analytical, modelling or research use cases\n, • Experience investigating data issues and tracing problems through pipelines, transformations and source systems\n, • Experience building and maintaining data pipelines or processing workflows in production environments\n, • Strong understanding of data quality, reconciliation and validation practices\n, • Experience working with analytical data warehouse technologies such as ClickHouse, BigQuery, Snowflake or Redshift (beneficial)\n, • Experience with version control systems (preferably GitLab) and tools such as JIRA and Confluence\n, • Comfortable working with messy, incomplete or evolving datasets and turning them into reliable assets\n, • Experience working in Agile environments and collaborating with distributed teams\n, • Excellent attention to detail, strong problem-solving ability and clear verbal and written communication skills\n\n

The work \n This is a systematic quant researcher role within a cross-asset trading environment spanning holding periods from intraday (mins/hours) to weeks. You will own the full research pipeline: signal generation, testing, portfolio-level analysis, and work with live capital. \n The asset universe is broad: equities, futures, FX, credit, commodities, and ETF structures all feature. The problems are genuinely hard: signal decay, regime sensitivity, execution friction, and cross-asset correlation structure all matter here. You will be expected to form views, test them rigorously, and defend them. \n \n The infrastructure \n You will have access to data and compute infrastructure at a scale very few firms can match. Research custom trading models to compete with the scale of frontier LLMs, consuming trillions of tokens of market data. Experimentation here is not constrained by tooling, it is constrained by the quality of your ideas. \n \n How the team operates \n Research here is a shared endeavour, not a collection of siloed books. Every researcher has full visibility into every active strategy's code. There are no black boxes, no protected territories. The expectation is that collective understanding produces better research than individual ownership. \n Strategies are sized for their contribution to the portfolio as a whole, not as standalone entities. That means your work is evaluated at the system level, which rewards researchers who think carefully about covariance, capacity, and cross-strategy interaction, not just isolated backtest Sharpe. \n \n What we're looking for \n You have 3-10 years of experience in a systematic trading environment, a hedge fund, prop trading firm, or closely related research role. You have built and shipped predictive models against real market data, not just in simulation. You have a rigorous research methodology, and are driven by data and intuition to come up with novel ideas, and augment existing ones. \n \n Core requirements: \n\n • Strong statistical foundations: time-series analysis, factor modelling, signal research\n, • Python proficiency; C++ experience strongly preferred (you will be interacting with C++ day to day)\n, • Experience across more than one asset class, or a clear track record in one with genuine appetite to work cross-asset\n, • Ability to take a research idea from hypothesis to backtested strategy to production-ready code\n, • Comfort operating in an environment where your work is visible and subject to peer scrutiny\n\n \n The right mindset: \n You are intellectually honest about what your models do and don't explain. You are more interested in understanding market structure than in protecting alpha. You find the idea of a shared codebase appealing rather than threatening. \n \n Where? \n London is a focus area, but realistically anywhere across the major financial hubs (NYC, Singapore, Hong Kong, Chicago). \n

Data Science and Analytics Lead \n \n Our client are a leading user-generated video marketplace, helping creators monetise their content while supplying video to publishers, broadcasters, brands and digital platforms worldwide. \n \n As demand for high-quality AI training data accelerates, they're uniquely positioned to turn their extensive video library into valuable datasets, metadata and insights, and they need someone who can get more value out of the data they already hold. \n \n This is a hands-on role. There is no analytics team to hand work off to, you are the data function. You'll take a business question, find the relevant data, run the analysis, build the model or the dashboard, and explain the answer to the people who need it. \n \n We're looking for someone with strong, recent hands-on experience in analytics and data science who's ready to take greater ownership. If you've moved away from writing R and SQL yourself, or you'd rather advise than build, this isn't the right fit. \n \n The opportunity \n You'll own the day-to-day development and delivery of the data, analytics and reporting capability across the business. \n Working with Commercial, Finance, Operations, Marketing and Technology, you'll answer the questions that matter commercially, improve the quality and reliability of the data underneath them, and build the reporting and models that turn a growing video library into decisions people actually make. The stack is Snowflake, Matillion, Tableau, R and Python, and you'll work across all of it. \n \n It's an ideal next step for a Senior Data Analyst, Data Scientist or Analytics Lead who wants to become the senior data and analytics specialist in the business and grow into a leadership role. \n \n What you'll be doing \n \n Analysis & data science \n\n • Work directly with stakeholders to understand business challenges, challenging assumptions and digging into the underlying drivers behind these\n, • Analyse large, complex datasets to identify trends, patterns, opportunities and issues\n, • Apply statistical and mathematical techniques to investigate business problems and support decision-making\n, • Build predictive models, algorithms and machine learning solutions where they add value\n\n \n Reporting & visualisation \n\n • Develop and maintain Tableau dashboards and reporting that communicate findings, and help stakeholders act on them\n, • Make sure reporting is accurate, consistent and based on data people can trust\n\n \n Data engineering & infrastructure \n\n • Develop and maintain data pipelines in Matillion\n, • Work in Snowflake to structure, transform and manage analytical data\n, • Design data models, schemas and transformations that support analytics and reporting\n, • Automate repetitive data and reporting processes\n\n \n What we're looking for \n\n • Proven experience in data analytics, data science, and statistics or business intelligence\n, • Strong track record of using data to answer business questions and generate actionable insight\n, • Advanced hands-on experience with R, or a similar statistical programming language\n, • Strong SQL and experience working with data warehouses\n, • Experience building dashboards and reporting, ideally in Tableau\n, • Experience using Python for scripting, automation or deployment\n, • Comfortable working with large and complex datasets\n, • Able to explain analytical findings clearly to non-technical stakeholders\n, • A practical, curious and commercially-minded approach to problem-solving\n\n \n Experience with machine learning, Snowflake, Matillion or other ETL tools, modern cloud data stacks, or large-scale video and unstructured datasets would all be useful, but none of it is essential. \n \n What's on offer \n\n • Hands-on work with a substantial and constantly growing dataset facing out to an exciting AI marketplace\n, • The chance to develop sophisticated analytics across video, content, AI customers and commercial performance\n, • Real scope to build data science and machine learning solutions with commercial impact\n, • Close working relationships across all levels of the business, and analysis that visibly influences decisions\n, • Ownership of the data and analytics capability, with room to grow into a leadership role\n\n \n Our client offer a competitive salary, hybrid working and a comprehensive benefits package. \n \n Apply now to learn more. \n Our client are committed to building a team where everyone feels welcome and supported, regardless of race, gender, age, religion, identity or background. If you need accommodations during the process, just let us know.

Analytics Consultant – Marketing Mix Modelling (MMM) \n \n 📍 Location: London (hybrid) \n 💰 Salary: £45,000 - £65,000 + Benefits \n \n Peaple Talent is proud to be partnering exclusively with a world-renowned agency that empowers the biggest brands with evidence-based insights to supercharge their media investment. Through the smart application of data, analytics, and independent thinking, they help businesses make better decisions and drive meaningful results. \n \n 🚀 As part of exciting expansion plans, we’re looking for a Senior Analytics Consultant with expertise in Econometrics and Marketing Mix Modelling (MMM) to join their high-performing team. \n \n 💼 What You’ll Be Doing: \n As a Senior Analytics Consultant, you'll be at the forefront of delivering advanced MMM and econometric modelling projects. From initial data exploration to presenting actionable insight, you’ll play a key role in helping clients get the most from their marketing spend. \n \n\n • Transform complex data and model outputs into actionable insights that create real value\n, • Deliver high-quality MMM and analytics projects across major client accounts\n, • Build strong, consultative relationships with internal teams and external clients\n\n \n What We’re Looking For: \n You’re a commercially savvy analyst with a passion for turning data into strategic action. You’ve worked hands-on with MMM projects and are comfortable navigating marketing/media datasets to uncover trends and efficiencies. \n \n\n • Solid coding experience in SQL, R or Python\n, • Strong understanding of marketing, media, and promotional strategies\n, • Demonstrable hands-on experience in Marketing Mix Modelling\n, • A confident communicator and collaborative team player\n, • Analytical thinker with the ability to translate data into business impact\n\n \n 🎁 What’s On Offer: \n 💰 Competitive salary: £45,000 – £65,000 \n 🌴 25 days holiday + bank holidays \n 🏡 Flexible hybrid working (2-3 days/week in office) \n 🩺 Healthcare cash plan & Life Assurance (3x salary) \n 📚 Training and development (internal & external support)

Product Analyst \n London (Hybrid – 2x Days a Week in Office) \n £80,000-£90,000 \n Sponsorship - Available \n \n The Company \n \n 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! \n \n The Role \n \n 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 \n \n You’ll be responsible for: \n\n • Analysing user behaviour, spotting trends, and telling compelling data stories to influence product strategy\n, • Designing, running, and evaluating experiments to optimise product performance and improve conversion\n, • Defining and aligning key metrics across teams, ensuring consistent measurement and insight delivery\n, • Building and maintaining dashboards and self-serve tools for quick access to core insights\n, • Conducting deep-dive analysis to inform strategic decisions and drive measurable product improvements\n\n \n Your Skills & Experience \n \n I’m looking for someone who is excited to work in a product-focused, consumer-facing environment, and who brings: \n \n\n • Strong SQL\n, • Python/R experience preferrable\n, • Experience with dbt and modern data stacks a bonus\n, • A proven ability to turn data into actionable insights and communicate them clearly to stakeholders\n, • Experience in a B2C or consumer tech environment, ideally with a focus on product analytics or experimentation \n\n \n The Benefits \n \n\n • Salary up to £80,000 – £90,000\n, • Bonus\n\n \n IMPORTANT NOTE \n \n\n • Sponsorship is available for this role\n\n \n How to Apply \n \n Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page

\n We are working with a well-established UK investment and wealth management business that is investing in the development of its portfolio risk capability. \n This is a senior, hands-on appointment sitting close to the investment function. The successful candidate will take ownership of developing a more sophisticated and consistent approach to understanding risk across a large and diverse range of client portfolios. \n The position combines quantitative portfolio analysis, framework development and senior stakeholder engagement. It would suit someone who enjoys getting into the detail of portfolio data and risk models but is equally comfortable turning that analysis into useful information for investment professionals and senior management. \n A major part of the mandate will be taking an existing capability and developing it into a more scalable, forward-looking portfolio risk function. The role\n You will develop and enhance the firm's approach to portfolio and investment risk, providing independent challenge and insight to those responsible for managing client assets. \n Your work is likely to include: \n \n • Developing portfolio analytics across market exposures, concentration, volatility, correlations and diversification.\n, • Producing and enhancing VaR, scenario analysis and portfolio stress-testing capabilities.\n, • Analysing factor exposures and the underlying drivers of portfolio risk and return.\n, • Assessing portfolios against relevant benchmarks, mandates and investment parameters.\n, • Identifying unusual or unintended concentrations and helping investment teams understand their potential impact.\n, • Developing dashboards, reporting and management information that make portfolio risk easier to understand and act upon.\n, • Improving the processes and controls used to identify, monitor and escalation investment risks.\n, • Working closely with investment, research, data, technology and risk colleagues to improve the quality and availability of portfolio information.\n, • Helping establish appropriate governance and oversight as the capability develops.\n, • Supporting senior management with analysis relating to portfolio construction and client investment outcomes.\n \n The remit is expected to broaden over time and may incorporate areas such as portfolio liquidity, counterparty exposures, investment models and other financial risks relevant to an investment management business. \n You will initially provide technical guidance to a more junior risk professional, with the potential for additional team growth as the function develops. What we're looking for\n We are interested in experienced investment risk professionals who combine strong quantitative skills with a practical understanding of how portfolios are actually managed. \n You are likely to have experience gained within wealth management, asset management, investment consulting or another sophisticated investment environment. \n Relevant experience could include: \n \n • Portfolio risk, investment risk, market risk or quantitative portfolio analytics.\n, • Strong knowledge of multi-asset portfolios and the interaction between different asset classes.\n, • Practical experience of risk measures including volatility, VaR, stress testing, correlations, concentrations and factor-based analysis.\n, • Understanding of equities and fixed income alongside less liquid or alternative investments.\n, • Experience developing risk reporting, analytics, controls or portfolio oversight frameworks.\n, • Familiarity with established portfolio risk platforms or comparable quantitative investment tools.\n, • Strong Excel skills, with experience of Python, Power BI or similar analytical technologies particularly useful.\n, • The ability to interrogate portfolio data rather than simply produce standard system reports.\n, • Confidence discussing risk with experienced portfolio managers and senior investment professionals.\n The individual\n This role requires someone who can operate at both a technical and strategic level. \n You should be capable of taking a relatively broad mandate, determining what good portfolio risk oversight should look like and then building the analytics, processes and relationships required to deliver it. \n The organisation is not looking for someone whose experience has been limited to producing established risk reports. Of greater interest is an individual who has previously improved, designed or built elements of an investment risk capability and can demonstrate how their analysis has influenced investment decisions. \n This is an opportunity to have considerable ownership of an important area within a substantial investment business and to play a central role in shaping how portfolio risk is understood and managed. \n #J-18808-Ljbffr

Senior Data Scientist, London/Oxford hybrid working. \n \n Are you excited by the opportunity to design advanced AI systems that accelerate scientific discovery and unlock knowledge at scale? \n Would you enjoy building production-ready solutions using machine learning, NLP, and generative AI to create meaningful impact for researchers and professionals? \n \n About our Team \n Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality. \n \n About the Role \n In this role, you will design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. You will also collaborate across teams to turn complex challenges into practical, production-ready solutions. \n \n Responsibilities \n\n • Design, build, and evaluate advanced AI/ML, NLP, and generative AI solutions for scientific and knowledge-discovery applications.\n, • Develop LLM-powered workflows and retrieval-augmented generation (RAG) systems for search, summarization, question answering, and evidence-grounded insight generation.\n, • Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques.\n, • Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows.\n, • Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability.\n, • Write production-ready Python code and partner with engineering teams to deploy solutions at scale.\n, • Provide technical leadership and mentoring to support high-quality delivery and continuous improvement.\n\n \n Requirements \n\n • Practical experience in data science, AI, machine learning, NLP, information retrieval, or a related quantitative field.\n, • Strong hands-on experience building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments.\n, • Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices.\n, • Strong Python skills and solid machine learning fundamentals.\n, • Experience working with large-scale text or content-rich datasets and modern AI/ML frameworks.\n, • Experience with RAG, semantic, vector, or hybrid search, along with experimentation and evaluation approaches that measure user impact.\n, • Familiarity with cloud platforms and modern software engineering practices.\n, • Strong communication, collaboration, and mentoring skills.\n\n \n Work in a Way That Works for You \n We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. \n \n Working Pattern \n Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive \n \n About the Business \n A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.

Campion Pickworth is partnering with a leading international professional services firm to hire a Data Scientist – Senior Consultant to join a high-performing Analytics & Data Science team. \n \n This is an opportunity to work at the forefront of Data Science, Machine Learning, Cloud Technologies and Generative AI, helping major organisations unlock value from their data and solve complex business challenges. You'll collaborate with talented specialists, work with modern technologies, and play a key role in delivering innovative solutions across a diverse project portfolio \n \n What You’ll Do: \n\n • Develop and deploy advanced analytics, data science, machine learning and agentic ai solutions across a variety of use cases\n, • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to extract actionable insights from complex datasets\n, • Contribute to the design and implementation of scalable data science workflows and best practices\n, • Collaborate with cross-functional stakeholders to understand business needs and translate them into effective analytical solutions\n, • Support multiple projects from exploration through to deployment within cloud-based environments\n, • Maintain high standards of code quality, documentation, and testing within a DevOps-oriented workflow\n, • Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative ai and large language models\n\n \n What We’re Looking For: \n Essential Skills & Experience \n\n • Proven experience solving complex, real-world problems using data science and analytics\n, • Strong Python skills (pandas, numpy, scikit-learn) with a solid grounding in probability and statistics\n, • Deep understanding of machine learning methods and their practical application\n, • Experience delivering multiple end-to-end data science projects across varied data types and business domains\n, • Familiarity with DevOps practices and tools such as Git\n, • Cloud experience (e.g., Azure, AWS) and working with ML platforms and services\n, • Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders\n, • Ability to align analytical outputs with broader business objectives\n, • Someone with 1-3 years of industry experience\n\n \n Desirable Skills \n\n • Experience using R and NLP or deep learning techniques (e.g., TF-IDF, word embeddings, CNNs, RNNs)\n, • Familiarity with generative AI and prompt engineering\n, • Experience with Azure Databricks, MLflow, Azure ML services, Docker, or Kubernetes\n, • Experience working in large, complex organisations or regulated industries\n\n \n This role is unable to provide sponsorship

We are looking for a strong self-starter with a genuine passion for data and a drive to produce results. The right candidate will thrive in a fast-paced environment, where priorities can shift quickly, and will demonstrate the self-motivation and intellectual curiosity needed to continuously learn and develop within a specialist, high-performing team. \n \n Above all, the successful candidate must embody Lockton's core principles: \n \n\n • Client first\n, • Results and impact driven\n, • Self-motivated\n, • Continuous improvement\n\n \n Role Purpose \n The LPS Analyst will report to the LPS Data Lead, providing hands-on analytical and data support across LPS's monoline facilities and wider Lockton portfolio solutions initiatives. The primary focus of the role will be to: \n \n\n • Continue building and maintaining the data infrastructure underpinning Lockton Portfolio Solutions monoline facilities.\n, • Support opportunity scoping through the interrogation and modelling of premium and claims data.\n, • Support the Data Lead in the preparation of high-quality data packs and submissions for insurance markets.\n, • Build and maintain reporting and dashboards to monitor the performance of LPS facilities.\n, • Provide analytical support across a range of LPS strategic initiatives.\n\n \n \n Key Responsibilities \n Monoline Facilities – Data & Analytics \n\n • Extract, interrogate and analyse data to support the Portfolio solutions Lead in internal scoping discussions with relevant stakeholders, using BI and analytics to identify opportunities and support the PS Lead.\n, • Produce Meaningful BI and reporting to assess the profitability and scope of monoline facility opportunities.\n, • Continue to develop and build on the data infrastructure for the monoline facility initiative\n\n \n Market Submissions & Engagement \n\n • Work with Data Lead to produce professional data packs for submission to market in Excel, PowerPoint and PDF, including a range of analytical exhibits.\n, • Respond to ad-hoc data requests from markets in a timely and accurate manner.\n, • Support data lead on maintaining robust reporting on key facility metrics, ideally delivered via interactive dashboards, including:\n\n\n, • Indexation: percentage of in-scope business placed versus not placed.\n, • Premium and claims performance by team and risk code.\n, • Aggregate accumulations versus limits and modelled loss estimates versus limits (using RMS / AIR outputs).\n\n\n, • Ensure reporting remains current and reliable as facilities grow and data sources evolve.\n\n \n Must-Have Skills & Experience \n\n • End-to-end development of Power BI reports, including ETL, data modelling, DAX expression writing and report creation.\n, • Proficiency in SQL development and good practices in query writing and optimisation.\n, • Good understanding of relational databases and data architecture.\n, • Advanced Excel, including Power Query and Power Pivot.\n, • Strong analytical and problem-solving skills with the ability to translate complex data into clear insights.\n, • Strong communication skills — able to present findings to both technical and non-technical audiences.\n\n \n Desirable Skills & Experience \n\n • Experience working in the insurance or financial services sector.\n, • Familiarity with London Market data processes, including BDX, Xchanging or Vipr.\n, • Experience working with large, multi-source datasets and building data pipelines.\n, • Knowledge of Python for data analysis and automation.\n, • Experience building automated reporting solutions or data workflows.\n, • Hands-on experience using Databricks for analytics and reporting workflows\n\n

Employer: DWS Group \n Title: Capital Markets Specialist \n Location: London \n \n About DWS \n \n Today, markets face a whole new set of pressures – but also a whole lot of opportunity too. Opportunity to innovate differently. Opportunity to invest responsibly. And opportunity to make change. \n \n Join us at DWS, and you can be part of an industry-leading firm with a global presence. You can lead ambitious opportunities and shape the future of investing. You can support our clients, local communities, and the environment. \n \n We’re looking for creative thinkers and innovators to join us as the world continues to transform. As whole markets change, one thing remains clear; our people always work together to capture the opportunities of tomorrow. That’s why we are ‘Investors for a new now’. \n \n As investors on behalf of our clients, it is our role to find investment solutions. Ensuring the best possible foundation for our clients’ financial future. And in return, we’ll give you the support and platform to develop new skills, make an impact and work alongside some of the industry’s greatest thought leaders. This is your chance to achieve your goals and lead an extraordinary career. \n \n This is your chance to invest in your future. \n \n Team / division overview \n \n DWS Xtrackers covers a full range Exchange Traded Funds across Equity, Commodities and Fixed Income, as well as Segregated mandates, covering a wide range of index providers and array of benchmark types from multiple ESG flavours to Thematics. DWS has an integrated investment platform with a strong footprint globally. \n \n You’ll be joining the ETP Capital Markets team, which is responsible for managing primary and secondary market activities along with broker dealer relationships and driving strategic initiatives and process improvements across other key external partners’ relationships. \n \n Role Details: \n \n As a Capital Markets Specialist you will (be): \n \n\n • Perform the day-to-day management of Xtrackers ETP primary market processes, focusing on operational efficiency, scalability, and continuous process improvement.\n, • Act as a Capital Markets Specialist within Xtrackers, providing strategic, operational, and market expertise to colleagues across Sales, Portfolio Management, Marketing, Operations, and Product teams.\n, • Identify, manage and mitigate operational risks, ensuring robust governance, escalation, and resolution procedures.\n, • Partner with internal stakeholders across Trading, Operations, Product, Portfolio Management, Legal, Compliance, and Sales to support new product launches, cross-listings, and platform developments.\n, • Develop and enhance primary market mechanisms that support efficient creation and redemption activity, enabling tight spreads, strong liquidity, and depth in secondary markets.\n, • Build and maintain relationships with authorised participants, market makers, broker-dealers, exchanges, and other market infrastructure providers to enhance primary and secondary market efficiency.\n, • Engage with exchanges regarding market structure, trading platform requirements, market maker programmes, fees, and regulatory developments.\n, • Serve as a key point of contact for internal and external clients, responding to technical product enquiries and supporting capital markets-related initiatives.\n, • Produce market intelligence, competitor analysis, and trading analytics to support product development, business strategy, and client engagement.\n, • Utilise high-frequency market data to develop trading insights.\n, • Maintain responsibility for the quality and accuracy of European Xtrackers ETP market data, ensuring robust, timely, and scalable data management processes.\n, • Collaborate with Sales, Marketing, Product Development, and external partners to maximise the value delivered to clients through market data, research, and analytics.\n, • Support product development and delivery through analysis of competitor products, secondary market dynamics, broker requirements, and market structure considerations, including new product launches and listings.\n, • Contribute to the ongoing development of the Xtrackers capital markets platform and broader business strategy.\n\n \n We are looking for: \n \n\n • Experience within ETF/ETP Capital Markets, Delta One, Synthetic Products, Equity Derivatives, or a related trading environment.\n, • Strong understanding of financial markets, exchange-traded products, and market structure.\n, • Knowledge of Total Return Swaps (TRS), synthetic replication, and associated trading and operational processes.\n, • Strong analytical and problem-solving skills with a high degree of attention to detail.\n, • Experience managing projects and coordinating multiple stakeholders across complex initiatives.\n, • Strong risk awareness, with the ability to identify issues and implement effective controls and mitigation measures.\n, • Advanced data analysis skills, including experience with Python, SQL, or similar analytical tools.\n, • Experience using Bloomberg, Reuters, or equivalent market data platforms.\n, • Strong communication and interpersonal skills, with the ability to engage effectively with senior stakeholders, clients, and external partners.\n, • Self-motivated team player with a proactive approach to delivering results in a fast-paced environment.\n, • Experience working with ETF market makers, authorised participants, exchanges, or liquidity providers.\n, • Knowledge of regulatory, operational, and trading considerations relevant to European ETF markets.\n, • Fluency in an additional European language would be beneficial\n, • CFA Charter holder or CFA candidate would be beneficial\n, • Degree in Mathematics, Finance, Economics, Engineering, Computer Science, Physics, or another quantitative discipline.\n, • Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.\n\n \n What we’ll offer you: \n \n At DWS we’re serious about diversity, equity and creating an inclusive culture where colleagues can be themselves sand it’s important to us that you enjoy coming to work - feeling healthy, happy and rewarded. At DWS, you’ll have access to a range of benefits which you can choose from to create a personalised plan unique to your lifestyle. Whether you’re interested in healthcare, company perks, or are thinking about your retirement plan, there’s something for everyone. \n \n Some of our core benefits: \n \n\n • 30 days’ holiday + bank holidays, with the option to purchase additional days\n, • A non-contributory pension scheme, up to 10%\n, • Physical and Mental Health Well-Being benefits including (but not limited to) Private Medical Cover, a complimentary GP service and the support of Mental Health First Aiders\n, • Family friendly benefits including generous parental leave packages (supporting all variations of family set-ups), to healthcare plans and travel insurance\n, • The opportunity to support our CSR strategy which is focused on combatting climate change and achieving greater social justice. You can make donations to our partner organisations or take part in corporate volunteering opportunities in your local communities by providing on hand support.\n\n \n DWS’ Hybrid Working model in the UK is designed to find the right balance between in-person collaboration and engagement in the office, which is core to our working culture, and working from home. Employees who wish to sign-up to our Hybrid Working model are required to work in the office two days a week, and given the flexibility to work from home for the remaining three. \n \n Some business groups may need you to spend more time in the office, but this will be discussed and made clear as part of your application and interview process. We will continue to review and evolve our working environments and methods to ensure that we are working in the best way possible for our people. \n \n If you require any adjustments or changes to be made to the interview process for any reason including, or related to a disability or long-term health condition, then please contact your recruiter and let them know what assistance you may need. Examples of adjustments include providing a change to the format of the interview, or providing assistance when at the DWS office. This will not affect your application and your recruitment team will discuss options with you. \n \n Our commitment to equal employment opportunity \n \n Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. \n \n We promote good working relationships and encourage high standards of conduct and work performance. DWS is an equal opportunities employer and we welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations. We are committed to providing a working environment free from harassment, discrimination and retaliation.

New Contract Opportunity for an eDV Cleared Data Scientist with an Industry-Leading National Security Consultancy in London. \n \n\n • Active eDV Required\n, • Up to £680 p/d Inside IR35\n, • 12-month engagement\n, • Urgent requirement - ASAP start\n, • 5 days on site in central London\n\n \n The Role: \n You will develop mission-critical data solutions for National Security clients. You will contribute to advanced projects across AI, cybersecurity, cloud, big data and digital transformation, helping to shape the future of national security. Working with datasets of varying scale, you will cleanse, integrate and analyse data to enable faster, more informed decision-making that supports the safety of the nation. \n \n Key Responsibilities: \n\n • Design and deliver data science solutions in support of national security operations.\n, • Develop and optimise pipelines to process large, complex datasets.\n, • Apply machine learning and statistical methods to generate actionable insight.\n, • Produce clear visualisations to communicate results to stakeholders.\n, • Work within agile teams to deliver robust, scalable systems.\n, • Support cloud deployments and integration into live operational environments.\n\n \n Seeking Experience in most of the following: \n\n • Python or similar scripting languages for data exploration and preparation.\n, • Machine learning and statistical methods, including model validation.\n, • Data analytics and visualisation techniques.\n, • Processing large datasets using batch or streaming tools such as Apache Spark.\n, • Data acquisition and fusion approaches.\n, • Cloud platforms (ideally AWS) and cloud-based data science solutions.\n, • DataOps principles and practices.\n, • Structured and unstructured databases.\n, • Container technologies, including Docker and Kubernetes.\n, • Agile delivery methods.\n, • Software engineering best practice, including version control and CI/CD pipelines.\n, • Linux environments.\n\n \n Why Apply? \n\n • Work on mission-critical UK Government projects with real-world impact\n, • Join a leading consultancy known for innovation and technical excellence\n, • Long-term engagement with competitive day rate and secure on-site environment\n\n

You will join a leading global insurance organisation that provides a broad range of commercial insurance, specialty, and reinsurance solutions. The business is seeking an Actuarial Analytics Lead to join a high-performing Risk Financing team, where you will play a key role in shaping and optimising the organisation’s reinsurance strategy. \n \n Working closely with stakeholders across Actuarial, Risk, Finance, MI, Underwriting, and external broker partners, you will be responsible for evaluating and enhancing reinsurance structures, ensuring alignment with business objectives, risk appetite, capital management priorities, and market conditions. \n \n This is a highly visible role, offering exposure to senior leadership and the opportunity to influence critical strategic decisions through data-driven analysis and insight. \n \n Main Responsibilities: \n\n • Support the design, evaluation, and placement of proportional and excess of loss reinsurance programmes across a range of insurance portfolios.\n, • Perform detailed analytical assessments to optimise treaty structures, retentions, attachment points, limits, and overall programme design.\n, • Assess the balance between reinsurance cost, earnings protection, volatility reduction, and capital efficiency.\n, • Lead modelling and scenario analysis to evaluate reinsurance performance under a variety of market and loss outcomes.\n, • Assess the impact of reinsurance structures on capital requirements and business performance metrics.\n, • Support planning and forecasting activities by quantifying the impact of reinsurance on\n, • Contribute to governance processes, ensuring compliance with internal frameworks and applicable regulatory requirements.\n\n \n Benefits: \n\n • Hybrid working model: 2 or 3 days a week in the office\n, • Salary up to £130,000 + 17.5% bonus (can be flexible for the right person)\n, • 10% employer pension contribution\n, • Private healthcare and life assurance\n, • Comprehensive employee benefits package\n, • Excellent career development and progression opportunities within a global organisation\n\n \n Requirements: \n\n • Qualified or nearly qualified actuary, or equivalent analytical experience.\n, • Experience within insurance, reinsurance, actuarial, capital modelling, pricing, or reinsurance analytics environments.\n, • Strong understanding of treaty reinsurance structures, including proportional and excess of loss programmes.\n, • Experience analysing risk, capital, and portfolio performance within a P&C insurance setting.\n, • Advanced analytical and modelling capabilities, ideally including Excel, R, Python, or actuarial modelling platforms.\n, • Strong commercial awareness and the ability to translate complex technical concepts into clear business recommendations.\n, • Excellent stakeholder management and communication skills, with experience influencing senior decision-makers.\n\n \n For more information and immediate review, please apply now!

Location: London (hybrid) Contract: Permanent, full-time Cloud Gateway is a UK-based managed network security provider delivering secure connectivity and network services to government and enterprise clients. We operate in a regulated, security-first environment where reliability is non-negotiable. We're looking for a Senior Platform Engineer to join our small but impactful platform team. You'll own and operate a multi-account AWS estate supporting critical government services, build and maintain CI/CD pipelines, and contribute to our growing observability and network automation products. This is a hands-on role with real ownership. You won't be pushing tickets around a queue; you'll be designing infrastructure, writing code, responding to incidents, and shipping improvements to production. You'll work closely with our NetOps, ServiceDesk, and engineering teams to keep things running and make them better. • Managing and evolving a multi-account AWS organisation with Terraform-managed resources across production and development environments., • Building, maintaining, and optimising CI/CD pipelines for infrastructure deployments, application releases, Docker image builds, and database migrations., • Operating and improving our observability stack (Grafana, InfluxDB, Prometheus, OpenTelemetry, CloudWatch) monitoring 200+ network devices and all AWS infrastructure., • Supporting and developing our Observability-as-a-Service product built on ClickHouse Cloud, HyperDX, and OpenTelemetry, including customer onboarding and tenant management., • Participating in on-call rotation, responding to production incidents, writing postmortem reports, and driving reliability improvements., • Contributing to security and compliance initiatives including Cyber Essentials Plus certification, IAM governance, and vulnerability management., • Building and maintaining golden AMI pipelines with automated patching, CIS hardening, and vulnerability scanning., • Supporting the Network Automation Platform initiative, integrating with FortiGate, Juniper, and NetBox for automated device configuration management., • Maintaining and supporting legacy infrastructure across established accounts, including investigating issues in systems, understanding how they were built, and planning gradual modernisation where appropriate., • Strong hands-on experience with AWS (EC2, ECS, Lambda, RDS, VPC, IAM, CloudWatch, API Gateway, S3, Route53). This is an AWS-heavy environment and you'll be working with these services daily., • Solid Terraform experience. We manage all infrastructure as code and you'll be writing, reviewing, and maintaining Terraform across multiple accounts and projects., • Experience with CI/CD pipelines. We use Bitbucket Pipelines but the principles matter more than the specific tool. You should understand automated testing, quality gates, deployment strategies, and production approval workflows., • Docker experience. We run production container images on ECS with multi-stage builds and ECR., • Linux administration and troubleshooting. Amazon Linux and Ubuntu are our primary operating systems., • Experience with monitoring and observability tools. Grafana, Prometheus, InfluxDB, CloudWatch, or similar., • Scripting ability in at least one of TypeScript, Python, or Bash., • A security-conscious mindset. Our clients are government bodies and everything we build has to meet strict compliance standards., • Comfortable with on-call responsibilities and incident response., • Comfortable working with legacy infrastructure and services., • Experience with network automation tools (Ansible, NAPALM, Scrapli, NETCONF)., • Familiarity with ClickHouse, OpenTelemetry, or time-series data platforms., • Experience working with government clients or in regulated environments., • Exposure to FinOps practices and cost optimisation., • AWS certifications (Solutions Architect Associate or similar)., • The chance to own a platform end-to-end, not just a slice of it., • Real impact, the services you support help millions of people across the UK., • A small team where your contributions are visible and valued., • Exposure to a wide range of technologies across infrastructure, serverless, observability, and network automation., • A growing product engineering function with opportunities to shape the direction of new #J-18808-Ljbffr

A leading social media platform in London is seeking an experienced engineer to manage relationships with client-side engineering teams, influence product development, and collaborate with sales partners on business opportunities. Ideal candidates should have a Bachelor's degree in Computer Science, over 5 years of coding experience, and proficiency in programming languages such as Python, Go, or Java. This role offers the chance to impact product strategies in a dynamic tech environment. #J-18808-Ljbffr

A leading tech house in finance is looking for a Python Developer with outstanding technical skills to join their team in London. You will work on innovative software and build scalable data platforms, collaborating with top technologists. The ideal candidate has strong experience with Python and SQL, enjoys working with large data sets, and preferably has a background in finance. This full-time role offers a competitive salary and benefits. #J-18808-Ljbffr

Senior Credit Risk Analyst – Existing Customers Hybrid London Analytics Do you enjoy using data to shape customer strategies, optimise portfolio performance, and influence key commercial decisions? Are you passionate about turning complex datasets into actionable insights that improve both customer outcomes and business results? If you thrive in a fast-paced environment, enjoy solving analytical challenges, and can confidently communicate recommendations to a wide range of stakeholders, we'd love to hear from you. Who we are Jaja is a UK‑based consumer finance business with a simple mission: to empower customers to buy, borrow and build using smart tech, strong data, and clear design. We launched our digital credit card in 2018 and we’re continuing to grow, with new products and experiences in the pipeline. Our goal is to strip out unnecessary complexity and give people more control over their money — or as we put it, Make Simple. Our values guide how we work: Care Deeply. Adapt & Thrive. Challenge Everything. Go For It. Own It. Make It Simple. We’re scaling quickly, and there’s a lot of exciting change happening across the business. What You’ll Be Doing • Own credit strategies for existing customer management – optimising credit limit increase/decrease strategies, balance transfers activities, supporting re-pricing activity., • Shape our monitoring frameworks – design scalable, smart solutions for reviewing portfolio quality and strategy impacts., • Provide analytical recommendations, support governance and implementation of strategy changes., • Partner effectively with Commercial, Collections, Tech, Finance, and Reg teams to deliver investor returns as well as an exceptional customer experience in line with all regulatory frameworks., • Communicate with impact – create clear stories, anticipate questions, and make data land., • Spot opportunities – find new ways data can improve customer outcomes or business performance and liaise with external partnerships to carry out Proof of Concept exercises. Required Skills & Experience • A degree in a quantitative field like Economics, Mathematics, Statistics, Business or Computer Science, • 3+ years in data/analytics (lending, risk, or fintech a big plus)., • Experience using SQL or Python to extract and manipulate data, • The ability to prioritise workloads and manage time effectively., • The ability to interact and work alongside key stakeholders at all levels across the business with attention to expectation management., • Experience in clearly communicating complex analytical insights in a simple manner to diverse audiences, including both technical and non-technical stakeholders. Desired • Credit card or consumer finance experience strongly preferred, • Experience developing or analysing lending, credit risk, pricing or existing customer strategies is advantageous., • Comfort with working in a fast-moving environment – you stay positive, adaptable, and focused., • You are execution focused and love rolling up your sleeves to get it done - you are hands-on, proactive and take solutions / process orientated approach to your work., • You are self-motivating and can switch between working independently to collaborating as a team with ease., • You care deeply about helping customers manage their money in a smarter way and want to make a tangible impact in the consumer finance industry. What's in it for you? • The chance to make a real impact in a growing business on a mission to change the face of the consumer finance industry forever, • Competitive salary, • Pension contributions, including Salary Exchange facility, • Annual bonus potential, • Private medical cover provided by Vitality (optional benefit), • 25 days annual leave (FTE) plus UK bank holidays (with an additional day added for each full calendar year worked, up to a maximum of 30 days)., • Your birthday off each year as an additional day's holiday, • 4x life insurance cover, • Access to our confidential Employee assistance programme #J-18808-Ljbffr

This is a role for an elite programmer in a high-performance team. We are looking for developers to contribute to the transformation of portfolio construction and quant research technology. If you are expert in java or python, passionate about quality of your software and interested in data analytics, portfolio construction and optimization please apply. You'll join a team of experienced technologists dedicated to improving the design, and development of an industry leading platform. You'll be tasked with keeping the team and other key stakeholders up to speed on the progress of what's being developed. As a Lead Software Engineer at JPMorgan Chase within the Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. • BS or MSc degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics or Science Discipline, • Excellent software development skill in Python and ability to learn new technologies quickly, • Advanced knowledge of architecture and design across all systemss, • Knowledge of industry-wide technology trends and best practices, • Ability to work in large, collaborative teams to achieve organizational goals, • Passionate about building an innovative culture J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. #J-18808-Ljbffr

A leading technology consulting firm in London is seeking a Full Stack Data Scientist to develop and implement AI solutions. The ideal candidate will combine data science with software engineering capabilities, focusing on machine learning and knowledge graphs. Responsibilities include designing advanced models and collaborating with teams on scalable solutions. Strong skills in Python and cloud platforms are essential for this mid-senior level position. #J-18808-Ljbffr

Goldman Sachs in London is seeking a Software Engineer at Analyst/Associate level for the Core Engineering team focused on Market Risk Analytics & Reporting. The role emphasizes producing risk metrics, building scalable workflows and ensuring data quality for regulatory reporting. Ideal candidates will have a quantitative degree, strong programming skills in Python/SQL, and experience with BI tools. The team collaborates across risk domains to deliver actionable risk insights. #J-18808-Ljbffr

We are seeking a highly skilled VoIP Services Tester with Automation Experience to join our engineering team. In this role, you will ensure the reliability, quality, and security of our real-time voice and video communication systems. You will lead the design of automated testing frameworks, author rigorous technical test cases, and produce comprehensive test reports that drive our deployment decisions. The ideal candidate bridges the gap between deep network protocol analysis and modern software automation, ensuring exceptional voice quality and system stability across our global telecom infrastructure. • Design Automation: Develop, scale, and maintain automated test frameworks for signaling, media handling, and regression suites., • Simulate Load: Build automation scripts to simulate high volumes of concurrent calls, load stress, and network degradation., • CI/CD Integration: Embed automated test scripts into continuous integration pipelines (e.g., Jenkins, GitLab, GitHub Actions)., • Design Test Cases: Author highly detailed test cases covering functional, negative, security, boundary, and edge-case scenarios for multi-party call flows., • Test Case Repository: Manage and structure test suites inside test management platforms (e.g., Jira)., • Track Traceability: Ensure full traceability between business requirements, technical specifications, and executed test cases., • Analyze Traffic: Capture and evaluate packet data using Wireshark and tcpdump to diagnose audio drops, call failures, or one-way media., • Validate Protocols: Verify SIP signaling, SDP negotiations, and RTP/SRTP media stream compliance., • Assess Quality Metrics: Continuously monitor and log critical VoIP KPIs including jitter, packet loss, latency, and Mean Opinion Score (MOS)., • Publish Test Reports: Generate comprehensive test execution summaries, metric dashboards, and formal test closure reports for stakeholders., • Document Defects: Log clear, actionable bugs in Jira accompanied by SIP ladder diagrams, automated logs, and PCAP file captures., • Collaborate on Fixes: Partner closely with DevOps and Network Engineers to isolate, reproduce, and resolve complex infrastructure bugs., • SIP/VoIP call performance testing with SIPp, Spectra, WinSIP, StarTrinity, • Automation using Python & Robot Framework, • API Test Automation & performance testing with Locust, Blazemeter/Taurus, k6, newman, jmeter, • GUI Automation with TestCafe, • CI/CD Test Integration, • Linux & Windows basic administration skills, • Expertise in Operating Systems like Linux ( RHEL, CentOS , OEL) , Windows Servers/Workstations along with Servers DNS/DHCP/LDAP/A.D, • Experience in Telecom Applications ( Metaswich Rhino, Dialogic Media Server, Perimeta SBC ) and Telecom Protocols ( SIP, RTP ), • Have good Knowledge in ITIL Process and Security implementation/System hardening on Telecom Applications and Services, • SSCA SIP School Certified Associate, • Knowledge in Intelligent Network service protocols like INAP, CAP, MAP, • Experience in using Metaswitch Scenario Simulator for producing test scenarios for SIP, INAP, MAP protocols etc., • Experience in developing scripting, e.g. Python #J-18808-Ljbffr

Join to apply for the Dev Ops Engineer role at Millennium Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. Leading index Rebal team seeking a highly skilled and proactive DevOps Engineer to join our Equities Trading team. This role is critical to ensuring the stability, performance, and scalability of our research and trading infrastructure. The successful candidate will be responsible for monitoring and maintaining production systems, supporting research workflows, and driving improvements across our infrastructure. You will work closely with developers, researchers and portfolio managers to ensure seamless operations and continuous innovation. London or Dubai • Environment design and build-out., • Perform continuous status checks on research and trading-critical automated tasks., • Develop automated testing frameworks and AI-driven solutions to enhance the quality of research and development outputs., • Identify opportunities to improve the stability and performance of infrastructure components and implement solutions to address them., • Continuously monitor logs for all production applications. Proactively identify and resolve issues before they impact operations., • Oversee the health and performance of data pipelines, including the team’s data pipeline and other dependencies., • Ensure timely and accurate delivery of external data., • Work closely with researchers, developers, and portfolio managers to understand their needs and deliver tailored solutions., • Web Scraping: Monitor and maintain web scraping pipelines to ensure data accuracy and reliability., • Strong proficiency in Python., • Experience with monitoring and observability tools., • Hands-on experience with workflow orchestration tools - Apache Airflow., • Familiarity with data pipelines and ETL processes., • Proficiency with containerization and orchestration technologies - Docker, Kubernetes., • Strong understanding of CI/CD pipelines and tools., • Strong problem-solving and troubleshooting skills, with a proactive approach to identifying and resolving issues., • Excellent communication and collaboration abilities, with the ability to work effectively across teams., • Highly organized, detail-oriented, and able to manage multiple priorities in a fast-paced environment., • 5+ years of experience in a professional quantitative role., • Trading Knowledge: Familiarity with the trading process and financial markets., • Problem-Solving: Excellent analytical and problem-solving skills., • Attention to Detail: Meticulous attention to detail and a commitment to accuracy., • Work Ethic: Demonstrated ability to work hard and manage multiple tasks simultaneously., • Team Player: Ability to work effectively in a collaborative team environment., • Communication Skills: Strong verbal and written communication skills., • Mid-Senior level, • Full-time, • Engineering and Information Technology, • Investment Management We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr

Job ID 108771 Work Areas Management Consulting, Technology & Engineering Employment Type Permanent Full-Time Location(s) London WHAT MAKES US A GREAT PLACE TO WORK We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top-ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally. WHO YOU'LL WORK WITH You will join the Architect experts within the Enterprise Technology team, part of Bain’s digital capabilities practice. This is a multidisciplinary group that helps clients modernise their security strategy, architecture, and programmes. The work centres on aligning cybersecurity with business goals, and in practice that means designing enterprise-wide security architectures, shaping operating models, managing cyber risk, and embedding security into digital and cloud transformations. WHERE YOU’LL FIT WITHIN THE TEAM As an Expert Associate Partner, Architecture (Cybersecurity), you will be a senior security architect within the practice, leading architecture engagements for our largest clients. The role calls for deep technical security expertise, hands‑on client advisory experience, and the ability to build and articulate a credible cybersecurity point of view. WHAT YOU'LL DO • Own cybersecurity architecture workstreams within large client transformation programmes., • Design and deliver security architectures across cloud, hybrid, OT, and legacy environments., • Work directly with CISO, CIO, and programme sponsors to shape security strategy and earn their confidence as a technical peer., • Sit on the project leadership team and represent security across business and technology workstreams., • Manage and direct teams of architects and consultants day‑to‑day., • Produce as‑is/to‑be security architecture documentation, risk assessments, and migration artefacts., • Identify client opportunities, develop security‑focused points of view, and support account expansion., • Understand what clients are wrestling with, technically and commercially, so that architectural recommendations land in context., • Run multi‑million security transformation programmes independently, from scoping through to delivery., • Coach and develop more junior architects and consultants on the team., • Stay current on the vendor landscape and bring that knowledge back to shape Bain's security offerings., • Review security architectures and vendor proposals on behalf of clients, stress‑testing assumptions and providing an independent view ABOUT YOU • 15+ years in cybersecurity, with time spent in both hands‑on technical roles and broader strategic ones., • T- or U‑shaped: genuine depth in at least one domain (cloud security, IAM, SOC, or similar) and enough breadth to hold a conversation across the full landscape., • Experienced in designing and delivering security architecture inside large, complex organisations, not just advising on it., • Comfortable running client workshops, presenting to boards, and writing for executive audiences., • Able to discuss security strategy directly with a CIO or CISO, including operating model, risk appetite, and programme design, not just technical architecture., • Experience outside pure architecture: operating model design, capability building, cyber programme definition, or security governance., • Works well in ambiguous situations and can bring structure to a client problem that has none., • Familiar with the major frameworks (NIST CSF, ISO 27001, SABSA, MITRE ATT&CK, NIS2) and able to apply them selectively rather than wholesale., • Cloud platform experience across at least two of Azure, AWS, and GCP, including hybrid architectures., • Able to translate a technical vulnerability into a financial or operational risk statement that a CFO or board would act on., • Experienced in scoping and structuring security engagements, including managing scope, stakeholders, and delivery risk., • Communicates clearly with both technical architects and non‑technical executives, adjusting without losing accuracy., • Threat modelling experience using structured methods such as STRIDE, applied to complex hybrid ecosystems before deployment., • Experience working with legacy technical debt in practice: modernising authentication protocols, managing PKI lifecycles, and retrofitting security controls into environments not originally designed with security in mind., • Practical knowledge across some combination of: security governance and policy; cyber risk assessment; enterprise security programme design; and secure SDLC., • Working knowledge of at least two cybersecurity frameworks: NIST CSF, NIST SP 800-53, ISO/IEC 27000 series, C2M2, or Cloud Security Alliance CCM., • Familiarity with AI platform security, cloud and data security risks, and third‑party/supply chain risk., • Hands‑on or advisory experience across IAM/PAM, vulnerability management, incident response, SIEM, and business continuity., • Cloud landing zone design and segmentation: able to limit blast radius from a security incident through architecture choices, not just tooling., • Data security: experience with DLP, data classification, and cryptographic controls across hybrid environments., • Logging and observability: clear understanding of what good telemetry looks like from a security operations perspective, and able to design architectures to produce it., • Able to speak to AI and automation in a security context, including where GenAI introduces new risk and how to address it architecturally. Nice to have: • Prior consulting experience in an architecture leadership role., • Experience building security frameworks or reference architectures that a team can reuse., • Experience writing proposals, leading pitches, or contributing to winning new security work., • Experience managing or mentoring junior cyber staff in a professional services environment., • DevSecOps experience: implementing security gates (SAST/DAST) into CI/CD pipelines., • Infrastructure as Code (Terraform, Bicep) and scripting (PowerShell, Python) for security automation. #J-18808-Ljbffr

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company. At American Express, AI is reshaping the future of commerce and redefining the experiences our commercial customers and card members expect. Within Amex Technology, we are building platforms, products, and governance that enable agentic AI systems to operate responsibly and at scale across the enterprise. Our focus is on agentic AI development: designing intelligent, adaptive systems that can plan, reason, and act across complex workflows with appropriate levels of autonomy. These systems power autonomous workflows, decision support, and customer-facing experiences—while meeting the high standards for security, explainability, reliability, and compliance required in financial services. We partner closely with product, design, and business teams to deliver agentic capabilities that reduce operational friction, improve decision-making, and transform how customers interact, transact, and grow. As an AI Engineer - Agentic AI, you will be a hands‑on builder contributing to the development of production agentic AI systems that operate on real financial data and serve real customers. You will work alongside experienced engineers, product managers, and designers to design, build, and ship AI-powered features, while learning how to operate within a regulated, customer‑facing environment. This role offers strong mentorship and opportunities to grow your technical depth in LLMs, agentic systems, and production AI engineering. This is not a research-only role. You will write production code, contribute to system design discussions, and help operate what you build after launch, with support and guidance from more senior engineers. We don’t hire to a narrow checklist, but candidates should be excited to grow in a modern, enterprise‑scale engineering environment with a focus on agentic AI. • Languages: Python, Go, TypeScript, • Cloud and infrastructure: AWS and/or GCP, Kubernetes, • APIs and services: REST, gRPC, • Distributed systems: event‑driven architectures, including Kafka, • Commercial and open‑source LLMs integrated into agentic workflows, • Tooling for agent orchestration, retrieval‑augmented generation, vector storage, and evaluation, • Schema validation and structured data handling, • Use of AI-assisted and agentic development tools for design, implementation, testing, debugging, and refactoring, • Learning how to apply these tools responsibly while maintaining production-quality standards, • All systems are built to meet high standards for reliability, security, and auditability, reflecting the responsibility of deploying autonomous AI in a financial services environment. At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world‑class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well‑being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. We back you with benefits that support your holistic well‑being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: • Competitive base salaries, • Bonus incentives, • Support for financial‑well‑being and retirement, • Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location), • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need, • Generous paid parental leave policies (depending on your location), • Free access to global on‑site wellness centers staffed with nurses and doctors (depending on location), • Free and confidential counseling support through our Healthy Minds program, • Career development and training opportunities Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. #J-18808-Ljbffr

Wise is seeking an IC3 Machine Learning Engineer to join the Risk ML and Intelligence team. You will ensure label quality, monitoring, and robust audit processes to keep ML models trained on clean data. Work with cross-functional partners across Risk Intelligence, Data Engineering, and Product. The role emphasizes Python or Java, ML lifecycle expertise, and building scalable data pipelines in a fintech environment. #J-18808-Ljbffr

Bank of America seeks a Senior Quantitative Finance Analyst in Bromley to redesign, optimise and deploy next‑gen risk and capital models within AMG/GRA. The role focuses on leading modelling projects, collaborating with stakeholders, and delivering timely, regulatorily compliant solutions. The candidate will leverage advanced statistics, econetrics and financial mathematics, with strong programming in SQL, Python and VBA, contributing to cutting‑edge risk management across the bank. #J-18808-Ljbffr

Fixed Term Contract for 12 months Our world-leading Time & Frequency department are seeking a Senior Platform Engineer with experience in VMware technologies, VDI platforms, automation, systems administration, and infrastructure resilience. This is an exceptional opportunity to join the global authority in precision timing at a defining moment for UK digital infrastructure. Backed by a government investment of £180 million in the National Timing Centre (NTC) programme, we are developing a world-first resilient time distribution capability that will provide industry with a robust complement to satellite systems (such as GPS) – which are increasingly vulnerable to disruption from solar storms, jamming and spoofing. This will underpin essential services, including • Telecommunications,, • Online banking,, • Emergency response,, • Transport networks, and, • Wider digital and data-driven operations. Together, these services form the backbone of modern society - and your leadership will help ensure they remain secure, reliable and robust even if global navigation satellite systems fail. As a Senior Platform Engineer specialising in Virtualisation, Windows, and Security, you will support and maintain critical infrastructure across multiple customer environments, with a strong focus on automation and DevOps practices. Working as part of a specialist team, you will design, deploy, administer, and optimise virtualisation platforms, end-user computing solutions, servers, and supporting infrastructure services, including orchestration services (Kubernetes) running on virtual platforms. Key responsibilities include: • Administering, maintaining, and optimising VMware vCenter and vSAN environments., • Supporting and developing VDI platforms., • Managing Windows Server environments, including Active Directory, Trusts, DNS, Group Policy, PKI, certificate services, and security hardening., • Designing, implementing, and supporting resilient, highly available infrastructure solutions, while troubleshooting complex infrastructure, platform, and network issues., • Delivering upgrades, migrations, patching, and lifecycle management activities., • Developing automation and orchestration capabilities using scripting and Infrastructure as Code (IaC)., • Supporting enterprise security initiatives, including privileged access management, monitoring, logging, and data protection., • Producing technical documentation, operational procedures, and support runbooks., • Contributing to disaster recovery, business continuity, and redundancy planning., • Travelling to sites as required to support deployment, implementation, and operational activities., • Experience designing, deploying, administering, and supporting VMware environments, including ESXi, vCenter, and vSAN., • Experience administering Windows Server in enterprise environments, including the design, implementation, and support of Microsoft services such as Active Directory, Group Policy, and PKI., • Experience supporting VDI environments., • Strong scripting and automation skills using one or more of PowerShell, Ansible, Bash, Python, or Terraform., • Experience designing, implementing, maintaining, and supporting secure, resilient, and highly available systems., • Experience producing technical documentation, operational procedures/runbooks, and implementation plans., • Strong stakeholder management, communication, and engagement skills., • Demonstrable experience in a senior infrastructure, platform engineering, systems administration, or technical consultancy role., • Relevant certifications in VMware, Omnissa, Microsoft, or automation technologies are desirable., • Knowledge of Linux operating systems, with a willingness to further develop skills in Linux & related Linux tooling., • Experience with Kubernetes and containerised platforms., • Experience supporting infrastructure in regulated, public sector, financial, or security-conscious environments. We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the Time & Frequency department, you will need to have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance. The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. Find out more about what it is like working here - The measure of us - Overview NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we ensure we’re creating an environment where all our colleagues feel supported and welcome. More about this on our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of rewards, benefits and recognition. Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. #J-18808-Ljbffr

Let's secure the future of energy. The Power Energy Systems (PES) Practice of AtkinsRéalis is seeking a Senior Power System Studies Engineer with extensive offshore wind or renewables experience to lead grid compliance, dynamic simulation, power system studies, technical consulting, and client engagement across renewable energy projects. AtkinsRéalis specialises in all aspects of Transmission and Distribution engineering within the UK and internationally. We provide industry-leading engineering solutions across the Transmission and Distribution sector, including substations, overhead lines, underground and subsea cable systems, offshore wind, solar, BESS and HVDC interconnectors. Become part of a team where every voice matters, and together we can tackle our clients' toughest challenges. We foster a diverse and inclusive environment where world-class talent thrives without boundaries. For us, collaboration isnt a buzzword. We value the different perspectives our people bring and recognise everyone for their contributions equally. We also know that different people have different priorities, which is why we're here to support you with whatever you need. We offer hybrid working, which involves travel/office-based working 3 days per week. This position can be based at any of our key locations: Epsom, London, Bristol, Leeds, Birmingham, Manchester, or Glasgow. Other locations will be considered on a case-by-case basis. This role focuses on grid compliance, power system analysis, EMT and dynamic studies, and the application of advanced simulation tools to solve complex network challenges. The successful candidate will combine strong technical expertise with client-facing, leadership, and mentoring responsibilities. You will be conducting simulations and analytical studies for Offshore Wind projects, load and generation interconnection, integration of renewables. • Preparing simulation study models and carry out power system studies including but not limited to grid compliance studies for offshore wind projects, solar, BESS and hybrid projects. You will have a knowledge of steady state and dynamic power flow analysis., • Conducting fault ride through studies and short circuit calculation., • Completing power quality analysis and Electro Magnetic Transient Analysis (EMTP) such as switching and lightning transient studies, energization studies etc., • Dynamic simulation of networks involving HVDC, FACTS and inverter-based generation., • Collaborate with internal and external stakeholders including clients, contractors, statutory bodies, operations teams and multidisciplinary project teams., • Provide technical input to bids, proposals and framework opportunities, defining delivery approaches, resource requirements, assumptions, risks and differentiators., • Identify opportunities for service growth, innovation, standardisation and continuous improvement, helping to strengthen AtkinsRéalis' capability and market offering., • Develop, mentor and support engineers, building capability, improving technical consistency and supporting succession planning within the practice., • Anticipate emerging business, regulatory, supply chain and technology challenges, identifying risks and opportunities early and advising project and practice leadership. You have a proven track record of leading power systems studies on renewable energy projects. You combine strong technical judgement with the ability to influence clients, guide multidisciplinary teams, develop others and contribute to business growth. You are comfortable working in complex and changing environments and can communicate confidently with stakeholders at all levels, internally and externally. Key skills and attributes include the following: • Degree qualified in electrical engineering or a relevant discipline; Master's degree qualification is desirable., • Chartered Engineer status, or demonstrable progress towards chartership, with membership of the IET or a similar industry body., • Comprehensive experience in studies for offshore wind and renewables projects at Pre-FEED, FEED and Detailed Design stages, with at least 4 years dedicated to major offshore wind projects., • Expertise in system study software such as PSCAD, DIgSILENT PowerFactory, including the development of software scrips., • Excellent stakeholder communication—able to influence senior clients across multidisciplinary and international teams., • Commercially astute, with the ability to build client relationships, support bids, develop propositions, coach others and champion continuous improvement., • Ideally you will bring a knowledge of PSSE, MATLAB / Simulink and associated system study software, a competency in Python coding and experience of working on Traction simulation studies. Explore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. Be rewarded. Find out more. We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Find out more. Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance. We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. As a Disability Confident Leader, we are committed to offering an interview to all applicants who have a disability and meet the essential criteria. If you would like to be considered under this commitment, please let us know at the application stage. #PESJOBS Employee Regular At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences. #J-18808-Ljbffr

Frontend-Focused Full-Stack Engineer – AI x LegalTech | £150,000 + Equity | Onsite in Central London One of Europe’s most exciting AI startups is transforming how legal teams interact with complex information. They’re on the lookout for a frontend-leaning full-stack engineer to design entirely new UX patterns for AI-driven workflows - an area where no standard playbook exists. • Salary up to £150,000 + equity, • Relocation package provided, • Greenfield AI product development with immediate, real-world impact, • Build user-first interfaces with React + TypeScript, • Contribute across the stack (Python, Postgres) to ship full product features, • Influence engineering practices and team culture from day one TypeScript, React, Python WYSIWYG editors, CI/CD • Strong frontend expertise with a focus on clean, intuitive UX, • Experience building scalable component libraries and high-performance UIs, • Willingness to work full-stack in a high-ownership, fast-moving environment Ready to shape the future of AI-powered interfaces - and move fast while doing it? Apply now! • Mid-Senior level, • Full-time, • Engineering and Information Technology, • Software Development #J-18808-Ljbffr

CloudDevs is seeking a Founding Full‑Stack Senior Engineer based in the UK to lead technical development of an AI-driven Hospitality Tech platform. This role emphasizes backend development using Python and Django while managing substantial web scraping operations. The position offers between £70k and £90k salary, along with up to 2% equity options. Join a small team poised for growth and address challenging problems in an engaging startup environment. #J-18808-Ljbffr

Join our dynamic team as a Vice President in Global Corporate Banking’s EMEA Planning & Analysis (P&A). This role offers a unique opportunity to drive financial strategy and decision-making across the firm. You will be at the forefront of financial analysis, partnering with senior leaders to enhance profitability and efficiency. Be part of a team that values innovation, strategic thinking, and collaboration. Your expertise will shape the future of our financial planning and analysis efforts. • Lead comprehensive financial planning, including budgeting, forecasting, and reporting., • Oversee the annual planning cycle for EMEA GCB business., • Create innovative reporting solutions for senior business heads and CFOs., • Provide key metrics to measure business performance and benchmark against competitors., • Collaborate with EMEA GCB Bankers and Business Management on strategic initiatives., • Drive expense management agenda with country and regional business managers., • Lead and develop a cross-regional team, fostering deep knowledge in financial reporting., • Serve as a key representative in calls with senior management., • Develop and deliver compelling presentations for senior management and stakeholders., • Enhance controls and streamline processes using automation tools like Alteryx and Python., • Bachelor’s degree in Accounting, Finance, or a technical subject., • Relevant work experience in Financial Services or accounting/controller background., • Strong storytelling and presentation building skills., • Strong analytical and problem-solving skills., • Advanced skills in Excel and PowerPoint., • Strong verbal and written communication skills., • Highly motivated and able to thrive under pressure and tight deadlines., • Integrity in handling sensitive and confidential information., • Team player with the ability to be respected as a trusted partner., • Alteryx, Python, and Tableau skills., • Experience in financial control and strategic analysis., • Ability to craft innovative strategic solutions., • Experience in developing new reporting capabilities., • Strong public speaking qualities., • Enthusiastic and capable of challenging peers. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. #J-18808-Ljbffr

Join a dynamic team, newly formed Markets Treasury function, where your expertise will shape the future of our business. This is an exciting opportunity to work on the EMEA Markets Treasury team, where you will take a leading role managing the business’ financial resources such as balance sheet, capital, liquidity, and leverage. As Markets Treasury Manager, you will function as an intermediary between Corporate Treasury (TCIO) and the Markets business to properly incentivize client and trading activity while ensuring the optimal use of financial resources. You will work closely with EMEA trading desks and various stakeholders across the firm to deliver on business results. You will also work closely with our Advanced Treasury Analytics team, technology, and quant teams to deliver on our data agenda. • Be a subject matter expert on financial resource topics and the impacts to the business., • Develop close relationships with trading desks to anticipate business needs and understand drivers of financial resource consumption., • Partner with trading desks to optimize the use of financial resources., • Analyze profitability of trading desks across different metrics (i.e. return on equity, liquidity, GSIB, etc)., • Understand the effects of proposed regulatory changes to the business and work with internal partners on advocacy efforts., • Understand the competitive landscape across the EMEA region and binding financial resource constraints for other peer banks., • Understand the fund transfer pricing between TCIO and LOB trading desks., • Provide treasury guidance on financial infrastructure services/products which have a strong financial resource impact, such as clearing, collateral management, and liquidity management., • Help develop new tools and analytics in partnership with the Advanced Treasury Analytics team., • Solid related industry experience. Past roles in Trading, Financial Resource Management, or Line of Business (LOB) Treasury roles., • Working experience with derivative pricing, life cycle, XVA pricing, CSA documentation, and optimization (capital/liquidity)., • Strong knowledge in the pricing and risk management of other financial products including financing and cash transactions., • Understanding of financial resource topics including US implementations of Basel III RWA, GSIB, liquidity (LCR/internal stress models), leverage, and regulatory/clearing house initial margin., • Proven experience working with large amounts data and analyzing output to identify trends., • Experience working with technology and quantitative research teams to deliver on strategic data projects., • Good interpersonal and communication skills (verbal and written) with ability to interact comfortably with senior stakeholders., • Bachelor’s degree and/or masters in a quantitative field., • Knowledge of Python, SQL, Tableau, AWS, Databricks, and AI tools strongly preferred. J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQsfor more information about requesting an accommodation. Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. PhysicsX is building a platform that enables Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The platform handles massive volumes of complex simulation data and enables high fidelity multi physics simulation through AI inference. We are looking for a Senior (potentially Staff level, depending on the candidate) Software Engineer to join the AI Workbench platform team. This is a software engineering role, not an ML research role. You do not need to be a practising ML engineer, but you do need to be fluent in the language of ML and data platforms, ideally through prior hands on experience with ML platforms or data science work. The team sits in a highly infrastructure heavy domain without being an infrastructure team itself. A large part of the role is building strong working relationships with the infrastructure team and owning the work that falls in the space between the two, where ownership is not always clearly defined. You will also play a key role in mentoring and developing engineers across the team, some of whom are early career and some mid career. Note for candidates: PhysicsX is currently going through a team reorganisation. The scope of this role may evolve as team structures settle, and we have kept this description intentionally broad rather than narrowly tailored to today's team shape. • Design and build distributed systems, services, and APIs for high dimensional simulation data across the machine learning lifecycle, from data processing and model training to inference services., • Own work end to end in a domain where responsibilities often sit between the AIWB platform team and the wider infrastructure team, and proactively build the relationships needed to manage that ambiguity well., • Build tools that enable data scientists and engineers to create automated, robust pipelines for data ingestion and processing, powering active learning loops., • Architect and integrate storage solutions, data warehouses, and data lakes to handle the demands of complex simulations, multimodal data, and deep learning workloads., • Deploy and support services across more than one production environment, including cloud and on premises or air gapped customer environments., • Define system architecture for new capabilities, making trade offs across performance, reliability, cost, and developer experience., • Author and review Technical Decision Records and contribute to Technology Radar reviews., • Mentor and support the growth of engineers across the team, including those earlier in their careers, and act as a technical role model., • Remain genuinely hands on. Writing code stays part of the job at every level, this is not a purely managerial track., • Communicate clearly and confidently with a wide range of stakeholders and personalities across engineering, delivery, and customer facing teams., • A passion for the craft. You are driven by engineering excellence and enjoy building things properly, not just shipping quickly., • Strong Kubernetes experience. This is a must have, including comfort with CRDs, Operators, and infrastructure configuration tools such as Helm or ArgoCD., • Strong command of Go, plus working knowledge of Python. Comfort with Rust is also valued. Experience across Kubernetes, Go, Python, and Rust is ideal., • Experience deploying and supporting services in more than one production environment, not just a single deployment target., • An ML platform background or prior data science experience, even if you have since moved into pure software engineering. You understand how ML practitioners and researchers think and talk about problems., • Intellectual curiosity and a proactive approach. You do not need to be told what to do next., • Strong communication and organisational skills, with experience operating at a senior or staff level, or equivalent people leadership experience, in a comparable engineering organisation., • Comfort with ambiguity and an adaptable, startup minded approach. PhysicsX moves quickly and priorities shift, and we are looking for people who thrive in that environment rather than finding it difficult., • Prior experience mentoring or developing other engineers., • Experience at an ML focused startup or platform company, or a strong infrastructure background from a larger organisation such as a bank, provided you can demonstrate adaptability to a smaller, faster moving environment, • Side projects, open source contributions, or things you have built for their own sake. Not a requirement, but a nice signal of genuine engineering passion., • Understanding of what it takes to build and support software across cloud, on premises, and air gapped environments., • Experience with big data systems and analytics at scale in production., • Equity options, share in our success and growth., • 10% employer pension contribution, invest in your future., • Free office lunches, great food to fuel your workdays., • Flexible working, balance your work and life in a way that works for you., • Hybrid setup, enjoy our new Shoreditch office while keeping remote flexibility., • Enhanced parental leave, support for life's biggest milestones., • Private healthcare, comprehensive coverage., • Personal development, access learning and training to help you grow., • Work from anywhere, extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. #J-18808-Ljbffr

A financial services firm in London is seeking a skilled Production Support Engineer to ensure the seamless execution of daily trading operations. This role requires extensive experience in SQL and Python, along with a strong understanding of market data. The position offers a hybrid work pattern with four days in the office, providing an attractive salary range between £200,000 and £300,000, including performance bonuses. #J-18808-Ljbffr

Trainline, London, is hiring a Senior Machine Learning Engineer to shape the technical direction of ML and AI initiatives across the business. You will work with data scientists, software engineers and product managers to deliver scalable models and data products. We value deep expertise in Python, ML libraries and productionising ML systems, plus cloud knowledge and a collaborative mindset. The role is hybrid, based in London, with opportunities to influence critical customer experiences. #J-18808-Ljbffr

A leading technology company in London is seeking a Cloud Site Reliability Engineer to enhance and manage global infrastructure systems. Candidates should have experience with Unix/Linux, cloud platforms like AWS or Google Cloud, and proficiency in languages such as Java and Python. The role emphasizes collaboration and innovation in a fast-paced environment, making it ideal for problem solvers who thrive under challenge. #J-18808-Ljbffr

Location: London Hybrid | Salary: £60-£80ph – Outside IR35 Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning Engineer to join their expanding team in London. • Strong C++ development skills., • Experience with CUDA for GPU acceleration., • Python and PyTorch experience., • Knowledge of Transformers, computer vision or image analysis., • Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly influence innovative real-world products. You'll work alongside a highly skilled team, solving complex technical challenges and shaping the future of AI systems. The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £ 60-£80ph outside IR35. The initial duration of the contract is 5 months with possible extension. #J-18808-Ljbffr

Our client, an innovative and rapidly growing business within the Exchange Traded Funds (ETF) sector, is seeking an experienced Lead Python Developer to play a key role in shaping the future of their technology and data platforms. This is a rare opportunity to join a highly respected organisation operating at the intersection of technology, data and financial markets. You'll lead the design and delivery of business-critical solutions while working closely with senior stakeholders across the organisation. Key Responsibilities: Leading the design and development of scalable data platforms and applications Building and optimising Python-based solutions and automation tools Developing and maintaining PostgreSQL databases and data models Delivering Azure Data Factory and Microsoft Data Flow solutions Creating insightful Power BI dashboards and reporting capabilities Driving technical best practice across development teams Mentoring developers and providing technical leadership Collaborating with business stakeholders to deliver innovative technology solutions Supporting the adoption of AI technologies including Microsoft Copilot and other productivity tools Integrating financial and market data into internal systems and reporting platforms Job Requirements: Proven experience in a Lead Developer, Technical Lead or Principal Developer role Strong Python development experience Expert-level PostgreSQL knowledge Azure Data Factory experience Strong Power BI capabilities Experience building data pipelines and reporting solutions Strong stakeholder management and Business Analysis skills SharePoint experience Financial Services, Asset Management, ETF, FinTech or Capital Markets experience Passion for technology and innovation Benefits: Performance bonus Hybrid working Pension contribution Private healthcare Generous holiday allowance Exposure to cutting-edge AI technologies Opportunity to shape technology strategy High-growth, entrepreneurial environment Significant career progression opportunities If you're looking to combine technical leadership, data engineering and financial technology within a growing specialist investment business, we would love to hear from you. Apply now to join our client's forward-thinking team

Buy side focused Fintech requires a Rates Quant Modeller to work with the senior portfolio manager, creating models for the business. Join our client and shape the tools for power elite trading. The code library provides valuation, risk, scenario and VaR calculations for a wide range of OTC and listed derivatives as well as cash fixed income products in G10 and emerging markets. The functionality of the library is exposed to clients through is a web based cross-asset Portfolio Management System which provides clients with real time pricing, scenario, risk and P&L on their portfolios as well as the ability to structure and overlay new positions. The underlying analytics have a proven track record of supporting some of the most quantitative hedge fund traders in the world. Role and responsibilities: The successful candidate will join our clients Quantitative Analytics & Development team and is expected to contribute to the development and enhancement of new and existing models and analytics in the core Quant Analytics library (written in C++). Furthermore, the individual is expected to develop new and enhance existing trading tools that are used by their clients (written in Python). At the same time, the individual is expected to provide ongoing support to clients across all asset classes (especially Rates, but also FX, Equities, Credit and Commodities), and maintenance of existing BAU systems and processes. The role represents an exciting opportunity to work closely with technical portfolio managers in a market focussed quant group. Ideally candidate will underestand the fundamentals of Curve Construction, Vol Surface and Callibration. To find out more about Huxley, please visit Huxley, 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

Data Engineer London - Hybrid £65,000 - £75,000 Azure Data / SQL / Financial Services I'm currently working with a growing data and technology consultancy who are looking to bring a Data Engineer into their expanding delivery team. The business works with a range of organisations across telecommunications, financial services, insurance and healthcare, helping clients develop modern data platforms and turn complex data into valuable business insights. Joining a client-facing consulting team, you'll have the opportunity to work across a variety of data engineering projects, with a strong focus on financial services. You'll be responsible for building, transforming and structuring large datasets, developing reliable data pipelines and supporting the delivery of data solutions for reporting, analytics and operational use. You'll work closely with both technical teams and client stakeholders to understand requirements, design scalable solutions and deliver robust data platforms using modern Azure technologies. The company have offices in London and are looking for someone who is happy to work from the office 2 days per week. Key Responsibilities Develop and maintain scalable data pipelines using Azure Data Factory. Build and manage ETL processes using SQL and Python. Work with Azure Databricks and Azure SQL / SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements and deliver effective solutions. Maintain high standards of data quality, integrity and security throughout the data lifecycle. Experience Required Strong commercial experience working within Azure data environments. Hands-on experience with Azure Data Factory, Azure Databricks and Azure SQL / SQL Server. Strong SQL and Python skills. Previous experience working within Financial Services environments (Banks/Insurance/FinTech) Good understanding of modern data architectures, including medallion architecture. Understanding of cloud security, IAM and networking principles. Comfortable working within Agile delivery environments. Experience with CI/CD pipelines, ideally using Azure DevOps or similar. Nice to Have Experience with Apache Airflow or dbt. Exposure to BigQuery / GCP. Azure or other cloud platform certifications Knowledge of data governance and data management frameworks Ideal experience working with financial data, regulatory reporting or risk-related datasets Salary: £65,000-£75,000 Benefits: 25 Days Holiday, Bonus, Share Scheme, Health Insurance, Pension, Life Assurance If you're an experienced Data Engineer with Azure, SQL and Financial Services experience, please apply and I can give you a call to discuss the role in more detail. Tim Stock | (phone number removed)

AI Solutions Engineer Please read the job description below carefully, and if you feel you are a good match, give contact Lorenz Pasch at Hays Recruitment ASAP - my contact details are available on my LinkedIn profile. London | Hybrid | Permanent | 70k I am working with a global professional services business investing heavily in its internal AI capability and looking to bring more engineering expertise in-house. This is a hands-on role for someone who enjoys building and integrating AI solutions. You'll work in a modern Microsoft environment, developing applications, automations, dashboards and AI agents, while also getting involved with APIs, light coding and broader agentic solutions where low-code is not enough. The role will suit someone who combines strong technical capability with good stakeholder skills. You'll work closely with internal teams, help translate business problems into practical solutions, and contribute to a growing AI capability with genuine visibility across the organisation. You'll be working with technologies including Copilot Studio, Microsoft 365, Dynamics 365 and Azure, alongside REST APIs, JSON and scripting languages such as Python, PowerShell or JavaScript. There is also a significant applied AI element, including building and refining AI agents, working with model APIs, retrieval over internal information sources, structured outputs, prompt design and improving solutions once they are in production. This could be a particularly good opportunity for someone coming from a Power Platform, Microsoft consultancy, AI solutions or solutions engineering background who wants broader ownership and the opportunity to help shape an emerging AI function. You do not need to be the finished article with every technology listed, but you should be technically confident, comfortable building real solutions and keen to develop. Contact Lorenz Pasch at Hays Recruitment ASAP. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Marketing Analytics Manager London (Hybrid – 2x Days a Week in Office) £65,000-£75,000 The Company This is a leading UK consumer and retail business with a significant physical and digital presence and millions of customers. The business is investing heavily in its data and analytics capabilities, with increasing demand from senior stakeholders to use data to make better, faster commercial decisions. The wider analytics function brings together Marketing Analytics, Digital Analytics, Customer Analytics, Data Science, Data & AI, Pricing and Promotional Analytics, giving the team exposure to a broad range of commercial challenges. Loyalty is a key strategic priority for the business, with significant investment and senior-level backing behind its loyalty programme. The focus is on using data to better understand what drives customer loyalty and value, and to build stronger, longer-term relationships with customers. The Role As the Marketing Analytics Manager, you will take ownership of the analytics strategy for the loyalty programme, working closely with Marketing, Ecommerce, Product, Customer and Data Science teams to understand what drives customer behaviour and translate this into clear commercial action. This is an individual contributor role with significant ownership and influence. You will be the key analytics partner for loyalty, helping the business understand programme performance, improve targeting and personalisation, and make better decisions around promotions, communications and customer strategy. You will: • Define and own the analytics strategy for the loyalty programme, developing a deep understanding of how it drives omnichannel behaviour, frequency, retention and customer lifetime value, • Build insight around different customer and loyalty segments, identifying behavioural groups and opportunities to drive greater value, • Measure the impact and value of loyalty initiatives and targeted interventions, working closely with Marketing and Data Science, • Support more intelligent, data-led targeting across promotional and discounting activity, • Help move the business away from broad-based offers towards more relevant and value-accretive activity for loyalty members, • Own and develop self-serve reporting and dashboards using Power BI, providing trusted and timely visibility of programme performance and customer behaviour, • Design and evaluate tests across loyalty mechanics, communications and rewards to understand what drives engagement and retention, • Lead the analytical approach to questions around what data is needed, how it should be used and what commercial value it can create, • Act as the primary analytics partner for loyalty across Marketing, Ecommerce and Product, • Influence key decisions around promotions, targeting and wider customer strategy, • Set the standard for how loyalty insight is produced, communicated and acted upon, • Support the development and sharing of best practice across the wider analytics team This role is ideal for someone who enjoys combining hands-on analysis with strategic thinking, taking a commercial question and using data to influence what the business does next. Your Skills & Experience • Solid experience in Marketing Analytics, Customer Analytics, CRM or Loyalty Analytics, • Strong SQL skills and experience working with large datasets, • Strong data visualisation experience, ideally with Power BI, • Strong understanding of loyalty and CRM metrics, including frequency, retention, lifetime value and RFM, • Experience with customer segmentation and understanding behavioural differences across a customer base, • Experience with testing, measurement and ideally incrementality, • Strong stakeholder management skills, with the confidence to influence challenging and demanding stakeholders, • Ability to translate complex analytical findings into clear, commercially focused recommendations, • Comfortable working across both digital and physical/store channels, • Experience within retail, eCommerce or another consumer-facing environment would be highly beneficial, • Experience with Databricks, Snowflake, BigQuery or similar cloud data platforms would be advantageous, • Python would be a plus The successful candidate will be a commercially minded Marketing Analytics professional who can operate strategically, but is still comfortable getting into the detail of the data and delivering analysis themselves. The Benefits • £65,000-£75,000 How to Apply If you're an experienced Marketing Analytics, CRM, Customer or Loyalty Analytics professional with strong SQL and stakeholder management skills, and you're looking for a role where your analysis can directly influence customer and commercial strategy, I'd be keen to hear from you! Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page.