176 to 190 of 190 Statistical Modelling Jobs in England

Data Science Analyst will lead the delivery of complex, system-driven pricing and analytical solutions across our UK & Ireland portfolio. This role combines advanced modelling, pricing expertise, and oversight of pricing systems to shape strategy, strengthen governance, and enhance analytical capability. Operating with a high degree of autonomy, youll … discount strategy and governance. Design tools and frameworks to support pricing decisions for high-value and high-risk segments. Apply advanced analytics, including elasticity modelling, to inform pricing strategy and planning. Partner with underwriting and commercial teams throughout planning cycles to enable data-driven decisions. Provide technical mentorship ...

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 ...

experience with industry-leading data and tools that will future-proof your career. You’ll sharpen your technical skills by working across the full modelling lifecycle – from sample design and performance analysis to scorecard development and commercial presentations. You’ll build models that directly influence lending decisions and drive … broad skill set and more career options down the line. What you’ll do You'll lead analytical projects using CRA data, developing statistical models and credit strategies that shape client decisions. You’ll work on high-impact modelling assignments, covering all stages from retrospective analysis to population ...

vitro and preclinical data into predictions of tissue exposure, target engagement, and pharmacological effects in patients. Experience in T-cell and myeloid cell engager modelling is advantageous. You will provide PBPK-PD expertise to support target validation, modality selection, human dose prediction, and PK/PD strategies from early … discovery through first-in-human studies. The role also involves integrating PBPK-PD, QSP, and AI-enabled modelling approaches to drive data-informed candidate selection and development decisions Working arrangement This role is offered on a hybrid basis (UK or US), with an expectation of typically ...

deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams. What you'll be doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring Build model monitoring … governance/monitoring experience, and a strong commercial mindset with genuine ownership. If you're a Senior Data Scientist, Decision Scientist or Credit Risk Modelling specialist looking for a role where you can have real influence over SME lending strategy , I'd be keen to hear from you. Please ...

Producing clear, audit-ready model documentation for governance approval. Providing expert input into implementation, testing, and monitoring frameworks. Sharing best practises and helping uplift modelling capabilities across the team. Key Skills (Essential): To excel in this role, you should possess: Python Expertise: Strong experience in model development, feature engineering … statistical modelling. SQL Proficiency: Confident in extracting and transforming large datasets effectively. Credit-Risk Modelling Experience: Proven track record in building application scorecards, PD models, and behavioural/in-life models. Bureau Knowledge: Deep familiarity with TransUnion and Equifax data structures and modelling considerations. Analytical Capability: Ability ...

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 ...