76 to 92 of 92 Statistical Modelling Jobs in the UK

International Consumer Bank (ICB) Risk Modelling team is responsible for developing statistical and machine learning models to reduce fraud and credit risk within ICB. The team also engages with external vendors and supports the onboarding of vendor models, including working through Model Governance to obtain appropriate approvals … executes and prepares model surveillance while providing insights for various regulatory requirements. As an Applied AI Machine Learning Vice President in the ICB Risk Modelling team, you will play a crucial role in analysing business problems and managing and developing machine learning models used to mitigate fraud risk within ...

processes are embedded. Stakeholder Engagement Partner with Risk, Compliance, Product, and Technology teams to ensure solutions are commercially viable and regulator-ready. Communicate complex modelling approaches and outcomes clearly to senior stakeholders and non-technical audiences. Influence strategic decision-making through insight and evidence-based recommendations. Governance & Risk … only when deployed safely and embedded into business processes. They will be comfortable owning ambiguity, setting direction, and raising technical standards. They will combine statistical rigour with pragmatic decision-making and be confident influencing senior stakeholders. They will enjoy mentoring others and developing team capability alongside delivering impactful work. ...

grow again - you will be joining individuals from the top universities in the UK, with a broad experience in the world of mathematical modelling, some of the team boasting experience at the likes of CERN. This team works alongside the Data Scientists to build complex algorithms to support … mathematical and statistical problems. What will you do? Design and build advanced statistical models for sports markets, deriving new products and enhancing existing offerings Own the full life cycle from concept, to research, through to productionisation and performance monitoring Collaborate closely with data scientists and quant researchers ...

data pipelines, incorporating normalised customer attributes, behavioural signals, and finalised rSAM outputs. You will also combine EDU rSAM outputs with advanced propensity modelling techniques to optimise education-focused sales motions and accelerate customer growth opportunities. Ultimately, you will deliver high-impact strategic insights on market sizing and customer propensity … strong track record in querying, cleansing, integrating, and analysing complex datasets at scale, ideally within Databricks environments. Strong Python skills for data manipulation, statistical analysis, and predictive modelling. Proven experience developing, validating, and optimising data science models that directly drive revenue growth and commercial performance. Experience with propensity modelling ...

models, including Generative AI and large language models. Design and deliver synthetic data and data augmentation solutions that enhance existing data assets. Run complex statistical experiments to test model performance and validate hypotheses. Work closely with Product and Engineering to move models from prototype into scalable, production-ready solutions. … text generation or data synthesis. Advanced Python skills within a data science and machine learning stack, alongside strong SQL capability. Solid grounding in statistical methods, experimentation and model evaluation. Experience working with large-scale datasets and modern data platforms. Ability to explain complex technical concepts clearly to non-technical ...

role The 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 on credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. … development. Qualifications Excellent SQL and Python skills with a strong understanding of best practices in software engineering and data engineering. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap. Experience ...

role The 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 on credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. … development. Qualifications Excellent SQL and Python skills with a strong understanding of best practices in software engineering and data engineering. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap. Experience ...

cyclic spectra, EVM, autocorrelation, constellation tracking, etc.) Designing RF data-processing pipelines built around practical hardware constraints (bandwidth, ADC limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models … Python proficiency for RF data analysis and prototyping (NumPy, SciPy, matplotlib, scikit-learn, PyTorch) Solid understanding of DSP fundamentals (FFT, filtering, modulation, correlation, noise modelling, resampling) Familiarity with SDR frameworks such as GNU Radio, SDRangel, osmoSDR, or SoapySDR Practical understanding of RF hardware chains (antenna filters mixers ...

required to: Produce high quality increments to the team's model library - working both individually and collaboratively. Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation. Provide support to Trading & Origination on model usage and behaviour. Leverage the teams cross-asset expertise … strong plus. Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable. Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems. Familiarity or high level of interest in Energy/commodity markets. Strong Communicator and fluent ...

required to: Produce high quality increments to the team's model library - working both individually and collaboratively. Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation. Provide support to Trading & Origination on model usage and behaviour. Leverage the teams cross-asset expertise … strong plus. Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable. Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems. Familiarity or high level of interest in Energy/commodity markets. Strong Communicator and fluent ...

required to:* Produce high quality increments to the team’s model library - working both individually and collaboratively.* Providing leadership in areas such as object modelling & interface design, automated testing & refactoring and performance optimisation.* Provide support to Trading & Origination on model usage and behaviour.* Leverage the teams cross-asset expertise … strong plus.* Experience with DevOps practices and tooling (CI/CD, containerization etc) is desirable.* Familiarity with mathematical and statistical models used in finance, particularly with regards to derivatives pricing and risk management systems.* Familiarity or high level of interest in Energy/commodity markets.* Strong Communicator and fluent ...

data science and analytics solutions to solve complex business problems * Building internal tools and contributing to the development of data and AI products * Conducting statistical analysis and regression modelling to generate insights * Creating dashboards and visual outputs for business stakeholders * Supporting AI workflow development, including exposure to large … Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms, ideally Azure, and an understanding of deployment processes * Experience working in cross functional teams, ideally alongside ...

Kingdom We’re looking for a Head of Data Science & AI You’ll lead iwoca's data science function – a group building probabilistic and statistical models that make real-time lending decisions. You’ll also be a key part of how iwoca embeds AI across the wider business: setting … SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct ...

TradingHub Founded in 2010, TradingHub delivers uniquely intelligent trade surveillance software to world leading financial institutions. Developed by market professionals, our solutions use sophisticated modelling techniques to detect single and cross-product market manipulation. With a team of over 150 experts based in London, Toronto, Singapore and Sydney, TradingHub … offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub’s proprietary mathematical/statistical models Use of in‐house big data language for the large‐scale pricing and analysis of security and risk data Implementation and optimisation ...

Football Radar For over a decade, Football Radar has excelled in developing statistical models and analytical frameworks for football. Our expertise extends to providing advisory services to football clubs and offering leading-edge betting advice that has consistently delivered outstanding returns for our clients. We define ourselves … Software Engineer, you will be responsible for helping build and maintain the software that makes that possible - everything from modern web applications to statistical models, real time data platforms to cloud infrastructure. This role is based at our London office, at 106 Kensington High Street, London, W8 4SG. ...

actuarial pricing solutions within insurance Strong understanding of insurance products and pricing methodologies across relevant lines Solid knowledge of actuarial methods, rating concepts, statistical techniques, modelling and pricing governance Experience working with clients on transformation or implementation programmes Ability to operate in cross-functional agile teams and work ...

London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery are valued. The Company … data-driven organisation with a strong focus on pricing and analytics. Operating within a compact analytics team, they are investing in robust, scalable modelling solutions to support ongoing decision-making. The environment is collaborative and delivery-focused, with senior stakeholders closely engaged in the outcomes of the work. ...

full model development lifecycle from data preparation and feature engineering through to testing, validation, and production deployment. Key Responsibilities * Design, develop, and enhance statistical, predictive, and pricing models using SAS * Build modelling datasets, feature engineering pipelines, and variable transformations * Develop SAS programs using: o Base … Experience across: o SAS Base o SAS Macros o SAS SQL o SAS Enterprise Guide/SAS Studio * Experience developing and deploying predictive or statistical models * Strong understanding of: Regression models , Forecasting, Segmentation , Risk or pricing models * Experience working across the full model development lifecycle * Strong data analysis, transformation ...