76 to 91 of 91 Statistical Modelling Jobs in London

Analytics Consultant (Credit Risk, Modelling & Scorecards) One of the world most respected financial services companies (operates globally) requires an Analytics Consultant. As an Analytics Consultant you will play a pivotal role in Client Analytics within Data and Analytics. You will lead analytical and consultancy projects, including the design … development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue. What You'll Do Our consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging ...

decisions, model markets, and bring trading strategies to life every day. As a markets and trading expert, you’ll use predictive analytics and sophisticated statistical techniques to monitor risk, respond to market signals and develop trading strategies across Options, ETFs, Equities, Fixed Income, Commodities and Currencies. Your Objectives: Develop … upon mathematical models. Design, build, and implement predictive models to generate novel trading signals. Use unconventional data sources to drive innovation. Conduct research and statistical analysis to build and refine monetization systems for trading signals. Your Skills & Talents: Bachelor's, master's or PhD in applied math, engineering, statistical ...

translate complex business requirements into pragmatic technical designs and to influence stakeholders at all levels. About Willis Re We combine specialist broking with analytics, modelling and research to help insurers optimise risk transfer, strengthen balance sheets and achieve sustainable growth. Our approach is relationship‐driven, transparent and outcome‐focused. … portfolio optimisation 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 ...

deliver data science solutions in support of national security operations. Develop and optimise pipelines to process large, complex datasets. Apply machine learning and statistical methods to generate actionable insight. Produce clear visualisations to communicate results to stakeholders. Work within agile teams to deliver robust, scalable systems. Support cloud deployments … into live operational environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition ...

Data Scientist to translate organizational challenges into scalable, high-impact analytical solutions. In this role, you will act as a subject matter expert-developing statistical models, optimizing data pipelines, establishing evaluation metrics, and delivering actionable insights that directly influence product retention, churn, and overall growth. Key Responsibilities Insight & Modeling … What We're Looking For Experience: 5+ years of relevant data science experience, with strong proficiency in Python . Core Competencies: Deep understanding of statistical concepts, data intuition, and problem framing. Visualization: Demonstrated experience building data dashboards and automated reporting tools. Leadership & Communication: Exceptional active listening and stakeholder management ...

partner with senior leaders across Marketing, Growth, Finance and Engineering to establish a best-in-class marketing measurement function. From Marketing Mix Modelling and experimentation to attribution, mobile measurement and marketing technology, you'll ensure the business has one trusted view of marketing performance and the confidence to make … Marketing Engineering, creating the culture, standards and operating model for a new function. Own end-to-end marketing measurement, bringing together Marketing Mix Modelling, attribution, mobile measurement and platform reporting into a single source of truth. Lead and evolve Omaze's Marketing Mix Modelling programme, ensuring outputs directly ...

Description Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions … such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support ...

cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems … shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical ...

analytical problems and step in when models degrade or fail in production. A key part of the role is knowing when to apply advanced modelling, when simpler approaches are sufficient, and when modelling is not appropriate. You may have limited line management responsibility, but impact is driven primarily … production within banking, capital markets, or similarly regulated, data-intensive environments. + Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling, with experience building models under real operational constraints. + Hands-on ownership of the full model lifecycle: data exploration, feature engineering, model development, back-testing ...

equivalent practical experience. 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience with business or forecasting modeling. Experience using statistical tools, predictive modeling, or quantitative techniques. Preferred qualifications: 6 years of experience using analytics … solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Responsibilities: Develop metrics to track and evaluate solution deployment across teams. Create dashboards and tools to automate processes, generate reports, and guide product decisions. Curate and validate data to ensure quality standards are met. ...

dunnhumby's next-generation models across a range of strategic AI initiatives. As part of this newly formed team, you'll focus on advanced modelling, long-term capability building, and cross-industry collaboration. You'll design new approaches, build and test prototypes, support engineering teams with productionisation, and contribute … data science teams on ML adoption and best practices. Work with leading academic groups and private-sector research partners to co-develop new modelling approaches, run joint experiments, or explore cutting-edge AI applications. Mentor other data scientists and contribute to growing organisational capability in deep learning and advanced ...

feedback from live trading. The role Research and develop systematic trading strategies within an automated trading framework Analyse large and complex datasets using advanced statistical and machine learning techniques Identify predictive signals and translate research into production trading strategies Build a detailed understanding of market microstructure across different exchanges … publications, academic awards or work on technically demanding problems Strong programming skills in Python or C++ Confidence working with large datasets and developing rigorous statistical models Excellent problem-solving and communication skills Interest in applying research to competitive, real-world problems Previous experience in finance is not required. Candidates ...

cross-functional discussions, ensuring current systems and infrastructure contribute to the multi-year vision for automated claims handling Set a high bar for statistical rigour, experimentation and measurement, helping improve how Claims performance and uncertainty are understood and communicated to senior stakeholders Who You Are You think in systems … shipping Generative AI systems in production (not just prototypes), including evaluation, safety/quality considerations, and integration into customer or operational workflows Strong statistical and modelling foundation, with experience in risk-based decisioning under uncertainty (e.g., fraud, credit, insurance, or other regulated domains) Proven ability to influence technical ...

Azure ML or Databricks experience for model lifecycle management• Regulatory knowledge in at least one sector: financial services (preferred), healthcare, insurance or utilities• Strong statistical knowledge: model validation methodology, bias metrics, performance measures and statistical testing• FRM, CFA, PRM or equivalent quantitative qualification is advantageous• FCA/ ...

portfolio optimisation, 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 … future‐led and forward‐thinking. Willis Re will also leverage recognised technical expertise from WTW’s Insurance Consulting & Technology business including their advanced modelling and analytical capabilities. Alongside this will be WTW’s Research Network, an award‐winning business supporting and influencing science to improve the understanding and quantification ...

About Football Radar Football Radar has been developing statistical models and analytical frameworks for football for more than 10 years. We provide advice to football clubs and are also a leading provider of betting advice. We combine the agility and ownership of a start-up with the stability … right answer. Curiosity about how data is used You do not need a data science background, but our platform exists to serve statistical models and research. You should be interested in how datasets will actually be used and willing to let that shape the systems you build. An interest ...