51 to 75 of 91 Statistical Modelling Jobs in London

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

analytics into risk quantification, pricing innovation, underwriting research, and product development. This role plays a key role in leveraging emerging data sources and predictive modelling to enhance measuring risk and supporting clients across Protection and Savings & Retirement. Fully qualified actuary (FIA or equivalent) with strong technical and analytical skills. … Minimum 5+ years in actuarial or analytics roles, ideally with exposure to R&D and/or Pricing across lines of business Expertise in statistical modelling, predictive analytics, and data science tools (Python, SQL, R – AWS a bonus) Proven ability to lead complex projects and stakeholder management ...

who... Loves turning data into decisions that drive customer and commercial value. You might already be an experienced pricing professional, or someone with strong modelling and analytics expertise looking to take on broader ownership. If you're curious, commercially minded, and enjoy seeing your ideas move from concept … pricing and ideally experience within motor insurance. A commercially driven mindset, motivated by delivering tangible business value through smart, data-led decision making. Advanced statistical modelling, machine learning and quantitative analytical skills, with the ability to automate insight generation, enhance risk segmentation and translate findings into pricing actions. ...

value chain. The ideal candidate will have a degree in a quantitative field and substantial experience in data science, particularly in machine learning and statistical modeling. A strong ability to communicate complex findings to diverse audiences is essential, alongside proficiency in Python and SQL. #J-18808-Ljbffr ...

specialist quantitative approach and is designed to deliver highly diversifying absolute returns for institutional portfolios. About the Role iSAM Helix is an Equities Statistical Arbitrage (StatArb) business line within iSAM Funds, which trades 24/6 globally. iSAM Helix has been live since 2021 and continues to evolve rapidly … testing, live trading, analytics, risk, position keeping and P&L. Responsibilities Develop and support complex quantitative StatArb strategies involving large‐scale data processing, sophisticated statistical modelling, portfolio construction and highly optimised execution. Build and maintain systems handling highly diversified equity portfolios. Monitor transaction costs and behaviour ...

applied across the organisation. You will be responsible for translating complex analytical outputs into clear, commercially focused recommendations, helping establish best practices across experimentation, modelling, MLOps, and data science delivery, and supporting the long‐term evolution of the organisation’s AI and data science capability. This is a leadership … needed. Skills and Experience Previous experience leading or managing Data Science teams in a commercial environment Strong background in machine learning, advanced analytics, or statistical modelling Strong stakeholder management skills with the ability to influence senior leadership Experience delivering data science products and models into production environments ...

impact leadership role offering the opportunity to build and scale a data science function in the UK. You will take ownership of Marketing Mix Modelling delivery while shaping the long-term vision of the team, combining hands-on technical work with senior stakeholder engagement. With strong investment in data … early stage and play a central role in shaping how the function evolves. The Role Lead the end-to-end delivery of Marketing Mix Modelling using frameworks such as Meridian, Robyn, or PyMC Oversee all stages of model development including data preparation, calibration, validation, and scenario planning Translate complex ...

team, championing robust experimentation, high-quality code and scalable machine learning systems. Skills & Experience Strong commercial experience with Python Excellent understanding of machine learning, statistical modelling and experimental design Experience developing and deploying end-to-end machine learning products into production Knowledge of recommender systems, personalisation, retrieval ...

developing trading systems for commodity derivatives in a systematic hedge fund Experience of working closely with researchers and portfolio managers Basic knowledge of statistical modelling in a financial context Experience with parallel & concurrent processing, e.g. Dask Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS) Equal ...

business problems and collaborate with Product, Marketing and Engineering teams to deliver measurable commercial impact. Responsibilities Translate complex business challenges into analytical solutions. Build statistical models and generate actionable business insights. Analyse user behaviour, retention, product performance and marketing effectiveness. Develop scalable analytical frameworks and reusable solutions. Build dashboards … analytical processes. Present recommendations to senior stakeholders across multiple business functions. Requirements 5+ years' commercial Data Science experience. Expert Python and SQL skills. Strong statistical analysis and modelling experience. Experience analysing product or marketing data. Dashboard development experience (Looker, Tableau or Power BI). Experience communicating complex findings ...

Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration. Understanding of data science principles, enabling informed evaluation of machine learning and statistical models. What you'll receive from us: No matter where you may be in your career or personal life, our benefits are designed ...

selection, portfolio optimization, and capital management.The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

Responsibilities Model Development (Azure Machine Learning Studio focus) Work collaboratively with actuarial and analytics teams to design, build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment …/CD practices and DevOps/MLOps principles integrated with Azure Machine Learning Studio environments. Cross-functional Collaboration Work closely with actuarial analysts and modelling teams to translate outputs from Azure ML Studio into actionable insights and business recommendations. Innovation and Continuous Improvement Stay up to date with developments ...

involves leveraging advanced analytics for risk quantification and pricing innovation. Ideal candidates will have over 5 years of experience in actuarial analytics, expertise in statistical modelling, and strong stakeholder management skills. This position is essential for enhancing risk measurement, and candidates should be proficient in Python ...

portfolio optimization, and capital management. The launch of Willis Re brings a strategic advantage of being unhindered by legacy, an ability to leverage data, statistical models and advanced technologies with the best knowledge and expertise to deliver more efficient and effective reinsurance outcomes. This places Willis ...

experiments and analyses collaboratively with coding agents. Experience building large-scale, highly parallelised data pipelines, working on data quality, automated evaluation design and simple statistical modeling. Ability to use AI everyday to build and find ways to push the frontier of model capabilities to accelerate work. Ability to approach ...

rate of learning. You’ll be expected to have a view on where it helps and where it doesn’t. The requirements Essential: Statistical foundations . Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. … that guide decisions — not just produce analysis, but land it with people who act on it. Data tooling . Proficiency with data manipulation and modelling tools. Analytical ownership . Comfortable owning ambiguous problems end-to-end — from framing through modelling to influencing decisions. AI fluency . Experience with ...

Experimentation Jobs is seeking a Senior Product Data Scientist in Greater London to lead the development of statistical models that significantly impact product insights and customer experience recommendations. The ideal candidate will architect predictive models and mentor the analytics team while working closely with product managers and engineers ...

What Will You Do? As a Senior Product Data Scientist at Tripadvisor, you will lead development of statistical models that directly influence product insights and customer experience recommendations. You will architect predictive and classification models to enhance personalization and experimentation velocity while mentoring the analytics team. Additionally, you will ...

performing and re‐performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures Emphasis on loan‐level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls REQUIREMENTS Masters degree or PhD in Mathematics, Physics (non‐experimental), Probability/Statistics, Engineering … Mathematical) Finance Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset‐backed structured products Minimum of 3 years of relevant professional experience at a top sell‐side or buy‐side institution in a front office quantitative role Exceptional ...

robust, actionable, and decision-oriented. Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded … tooling to improve efficiency, consistency, and speed of decision‐making across teams. Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team ...

performing and re-performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures* Emphasis on loan-level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls**REQUIREMENTS*** Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering … Mathematical) Finance* Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset-backed structured products* Minimum of 3 years of relevant professional experience at a top sell-side or buy-side institution in a front office quantitative role* Exceptional ...

ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes … Experience working in empowered, cross-functional teams alongside Product, Design, Research, Technology, Risk, Marketing, and Distribution stakeholders. Exposure to AI-driven personalisation, experimentation, predictive modelling, and optimisation of digital client experiences. Understanding of wealth, investing, advice, and guidance journeys, including simplifying complex financial decisions for clients. Experience shaping data ...

Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business. Model Development: Develop statistical and machine learning models for commercial lending products. Optimization: Deliver value through the optimization of current models and drive innovation by constantly seeking alternative … that chooses to lift each other up and think smart every day. As part of the Decision Science team, you will create cutting edge statistical and machine learning models and collaborate with data engineers, analysts, and business stakeholders. As well as improving on our previous generation models ...