101 to 121 of 121 Statistical Modelling Jobs in London

wider technology platform.Define and maintain API contracts, agent and skill registry contributions, and shared user interface components.Support Artemis integrations with Bayesian marketing mix modelling capabilities and campaign performance data pipelines.Partner with AI Engineers to design large language model orchestration and tool-calling architectures for Artemis-specific agents, with … Agile environments.Experience managing engineering teams, including resolving conflicts and dependencies.Demonstrated ability to manage communication across project stakeholders and external vendors.Experience translating ambiguous requirements—including statistical model outputs and marketing return-on-investment workflows—into well-scoped engineering work.Strong interpersonal skills and the ability to collaborate across different levels ...

development of models and frameworks that drive our product strategy forward.What You will do:Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience.Use your knowledge and experience to help scale the impact … Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency.Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations.Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify ...

benchmark maintenance, calculate and deliver portfolio and manager level investment results, and provide advanced analytics and attribution analyses. Designs, develops, and interprets analytical/statistical models and forecasts to support investment and sales and marketing activities Researches, analyzes, and resolves discrepancies impacting results with internal operational teams Performs results … statistical, and portfolio analysis Develops and provides analysis of portfolio results, including hypothetical/paper portfolio results Designs and develops forecasting tools and statistical models that directly support the investment and distribution decision-making processes Creates a narrative out of data, asking the right questions to ensure understanding ...

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 ...

lead a mature Predictive Analytics function by upskilling individuals, championing innovative approaches to data analysis and interpretation, and driving the adoption of advanced modelling techniques to enhance decision-making and business outcomes.Provision of advanced pensioner demographics and mortality basis based on optimal exploitation of newly acquired data sets, enhancing … efficiency to expand the overall Longevity business portfolio.Support the development of Protection pricing bases by integrating predictive analytics and new data-driven techniques into modelling approaches, improving insight, and pricing robustness.Management of our internal data pools, ensuring they are effectively maintained and leveraged to deliver maximum analytical and business ...

Client Analytics within Data and Analytics (D&A). You will lead analytical and consultancy projects, including the design and development of complex modelling assignments utilising CRA data. You will have frequent engagements with external customers/stakeholders and will manage multiple projects delivering revenue for Equifax UK. What … DoOur Associate Consultants are highly competent at developing statistical models, with hands on detailed analytic & modelling expertise, leveraging CRA data assets Responsible for supporting the delivery of analytical projects. This includes credit strategy development, scorecard and model development to required quality standards and project timescales. This will cover ...

when our clients need it most.We seek highly multifaceted skilled individuals with expertise in Fixed Income modeling, interest rate theory, credit risk, or advanced statistical/machine learning techniques. You'll have the opportunity to: Design, build and evaluate statistical and Machine Learning models that directly influence … research findings through documentation, whitepapers, or in leading academic journals and conferences.You'll need to have: Previous relevant work experience with Machine Learning or Statistical Modeling techniques in the financial industry, ideally around asset valuation. A track record designing, building, evaluating, and maintaining statistical or Machine Learning solutions ...

growth.About the roleThe mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection … applicants to have prior experience of all them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang ...

investment diligence, pipeline monitoring, portfolio construction, and generating quantitative insights for client engagements and fundraising. Our projects harness large proprietary private market datasets and statistical models to produce insights that enhance a historically fundamental research-based investment process.This is an opportunity to join a highly diverse and growing team … team-oriented environment.Results and detail oriented.Willing to work in a position with uneven and high priority project work.What you will do:Conducting quantitative/statistical analysis of private markets and investment opportunities (80%)You will play a lead role in analyzing proprietary private markets datasets and models to characterize ...

Sciences, or 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 to solve … product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher ...

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 … engineering, and 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 ...

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 ...

Commodities, with strategies including market making, automatic quoting, central risk books, systematic trading, and algorithmic execution, trading on venues around the world. We deploy statistical analysis techniques and mathematical models, including advanced machine learning and AI, to improve business performance while working closely with traders and salespeople … firm.Role Responsibilities:Take a leading role on our Quantitative Trading & Market Making desk, building market making and quoting strategies across FICC products.Use advanced statistical analysis and quantitative techniques such as neural networks, machine learning, and factor models to build models that drive systematic alpha strategies which make real-time ...

high-frequency trading or quantitative trading is preferred but not a requirementA strong background in mathematics and statisticsProficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)Solid data-mining and analysis skills, including experience dealing with a large amount of data/… tick dataFamiliarity with signal generation and statistical modelsStrong programming skills in Python and/or C++BenefitsTower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower ...

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 ...

join Capital on Tap, reporting to the Head of FP&A.You'll own two linked workstreams - IFRS9 Expected Credit Loss (ECL), and portfolio modelling that feeds the financial model to produce forecasts. The work spans the UK and US revolving credit books, sitting close to Finance, Risk and Data … complexity.Use AI tools confidently across the workflow, and help the team adopt practical AI-assisted ways of working.We're Looking For2-5+ years building statistical/credit risk models in Python, and extracting and shaping data in SQL.Credit risk modelling experience, ideally IFRS9 ECL (PD/LGD/ ...

competitive. Create and maintain mathematical specifications for game implementations. Build simulation tools to validate theoretical calculations and game behaviour. Perform Monte Carlo simulations and statistical analysis to verify mathematical accuracy. Present and explain mathematical design decisions and how they affect player experience to technical and non-technical teams Iterated … maths development in the igaming industry Strong understanding of probability theory, combinatorics, and statistics. Excellent analytical and problem-solving skills. Experience with Excel and statistical modelling. Programming experience in C#, Java, or similar languages. Ability to interpret large datasets and validate simulation results. High attention to detail and commitment ...

models to support hedging strategies for retail energy supplyAnalyze market data to optimize the performance of physical assets such as solar and wind farmsConduct statistical and scenario-based modeling to inform trading and risk management decisionsMonitor power markets, pricing trends, and regulatory developments to identify risks and opportunitiesCollaborate with … related role in energy, trading, or analyticsStrong proficiency in Python, with experience using libraries for data analysis, modeling, and visualizationSolid understanding of statistical modeling, optimization, and analysis techniquesExperience working with time series or market data, preferably in energy or commodities marketsStrong problem-solving skills and the ability to translate ...

stakeholdersProvide feedback on tools and help provide specifications for new toolsQualifications:The candidate must be able to demonstrate expertise in quantitative analysis techniques including statistical analysis, experience working with market data and large data sets programmatically, and strong analytical skills.Additionally, the candidate should have experience with financial data … through an advanced degree (PhD or Masters) in sciences/math/quantitative discipline and/or practical experience applying quantitative finance theoryExperience implementing statistical modelsUnderstanding of factor models and their applicationsAttention to detail and passion/grit for getting things done, digging into problems, and helping develop solutionsSense ...

SummaryQuantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company with office in London and Leeds. You will be developing statistical models to compute the probabilities of outcomes in various sports. Sports modelling is their core expertise and the company is structuring the company around … which are central to the company’s success. You will find innovative ways of extracting information from various sporting and market data sources. Modelling and predicting sports outcomes is a uniquely challenging field, and you will have plenty of opportunities to use your experience, judgement and imagination to solve ...