276 to 300 of 326 Statistical Modelling Jobs in the UK

time. Key Responsibilities: Design, research, and implement systematic trading strategies across global equities, futures, FX, or other liquid asset classes Conduct high-quality alpha signal research using alternative data, statistical techniques, and machine learning when appropriate Develop and test robust portfolio construction, execution, and risk management models Collaborate closely with data engineering and infrastructure teams to enhance research platform … research or trading at a hedge fund, proprietary trading firm, or top-tier investment bank Proven track record of alpha generation or contribution to profitable strategies Deep understanding of statistical modeling, time-series analysis, and/or machine learning techniques Strong programming skills in Python, C++, or similar; experience working with large datasets and research infrastructure Master’s or More ❯

About 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 try to combine the freedom and flexibility of working in a start-up … the stability of an established business, giving our people the autonomy to act and the support to succeed. About the Role You will be responsible for designing and developing statistical models used to predict cricket matches. We are looking for smart, mathematical and ambitious people who enjoy solving challenging problems and can make pragmatic decisions. You do need to … you have: Strong problem solving skills, with an ability to proactively identify challenges and propose solutions An ability to make pragmatic and sensible choices about what data analysis and modelling approaches to use - you can judge when it's right to obsess about the details, and when it's right to ship an MVP as fast as possible A More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling … with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For Experience building and calibrating statistical/mathematical … similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe modelling … with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re Looking For Experience building and calibrating statistical/mathematical … similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R&D environment. Experience in catastrophe modelling, especially around exposure and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with More ❯

Reporting & Insight Delivery (20%) Develop dashboards, regular 'Trade' performance reports, and deep-dive analysis to support stakeholders across Marketing, Product, and Commercial teams. Translate findings into actions Data Pipelines & Modelling (15%) Scope out and/or build and model marketing data pipelines, clean datasets, and well-defined KPIs in order to deliver projects Advanced Analytics/Projects (15%) Build … and targeting strategies Experimentation & Testing (10%) Design, execute, and analyze A/B and multivariate tests across marketing campaigns and the digital customer journey. Includes test planning, power analysis, statistical interpretation, and documentation Commercial Strategy Support (10%) Contribute to marketing planning, marketing attribution modelling, investment forecasting, and business casing Model expected outcomes and measure commercial impact of campaigns … Solid experience in a similar role within a high growth, eCommerce or fast paced consumer-facing business Expertise in acquisition and retention analytics with a strong understanding of attribution modelling, customer funnels and marketing metrics (CAC, ROAS, LTV, churn) Expert knowledge and experience in SQL, DBT, Python and/or R for database manipulation and statistical modeling Experience More ❯

and predictive analytics initiatives to support fleet management and reliability efforts. You will also develop and maintain tools to streamline data cleansing processes, implement advanced analytics solutions, and provide statistical expertise to cross-functional teams. Your contributions will directly enhance the performance and reliability of aviation products, ensuring safety and quality remain our top priorities. GE Aerospace is one … Provide Reliability/In-Service support. Clean, validate and categorise datasets/sources, as required. Complete contractual, non-contractual, and ad-hoc data and reliability requirements, as assigned. Develop statistical models for specific issues, execute accurate analyses and provide clear link between statistical results and physics. Communicate technical content to satisfy requests using appropriate media (e.g. presentation) to … a variety of stakeholders at all levels. Provide statistical guidance to other personnel and assigned teams, mentor others in the organisation. Adhere to departmental compliance, company policies and government regulations. Required Qualifications This role requires advanced experience in the Engineering/Technology & Fleet Management. Knowledge level is comparable to a Bachelor's degree from an accredited university or college More ❯

threat landscape. As a Senior Director of Software Engineering at JPMorgan Chase within the Cybersecurity and Tech Controls team, you will leverage your expertise in designing and developing sophisticated modelling software to enhance cyber and business resiliency efforts. Collaborating closely with a quantitative data scientist, you will spearhead the creation of a Bayesian inference-based modelling platform aimed … and lines of business Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives Design and develop scalable, production-grade software for risk modelling, inference engines, and simulation frameworks Collaborate with cybersecurity teams, risk analysts, data scientists and resiliency stakeholders to define model inputs, risk scenarios, and system architecture requirements Translate mathematical and … statistical models (e.g. Bayesian networks, probabilistic graphical models) into performant software modules. Develop data ingestion and transformation pipelines to source data from internal systems and threat intelligence sources Lead the architecture design for modular, explainable, and extensible risk modelling systems Ensure robustness, auditability, and version control of all models and underlying code per company and regulatory standards Build More ❯

threat landscape. As a Senior Director of Software Engineering at JPMorgan Chase within the Cybersecurity and Tech Controls team, you will leverage your expertise in designing and developing sophisticated modelling software to enhance cyber and business resiliency efforts. Collaborating closely with a quantitative data scientist, you will spearhead the creation of a Bayesian inference-based modelling platform aimed … and lines of business Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives Design and develop scalable, production-grade software for risk modelling, inference engines, and simulation frameworks Collaborate with cybersecurity teams, risk analysts, data scientists and resiliency stakeholders to define model inputs, risk scenarios, and system architecture requirements Translate mathematical and … statistical models (e.g. Bayesian networks, probabilistic graphical models) into performant software modules. Develop data ingestion and transformation pipelines to source data from internal systems and threat intelligence sources Lead the architecture design for modular, explainable, and extensible risk modelling systems Ensure robustness, auditability, and version control of all models and underlying code per company and regulatory standards Build More ❯

Head of Modelling & Optimisation Two positions are available, Head of Modelling & Optimisation and Head of Pricing Transformation. These roles sit within our Retail Pricing - Modelling & Optimisation division. Location: We operate flexible hybrid working for these positions and have offices based in Manchester and Peterborough. Role purpose The successful candidate is responsible for leading technical pricing solutions in … solutions Drive change and innovation to ensure continuous improvement End to end production of pricing models using a tailor-made pricing pipeline Use of pricing software to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead research and development opportunities to help … innovate and improve current modelling and pricing methodologies Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Street Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders around the business Manage a team of varying experience, including managers About you: Strong experience managing pricing teams and More ❯

complying with complex regulations and increasing regulatory expectations. Also, the advent of new technologies (e.g. AI) and emerging sources of financial risk (e.g. climate change) drive innovation in the modelling space that have to be managed appropriately. This is where our team comes in! We provide and evidence oversight in the form of independent model validations and reviews, where … also make sure we adhere to frameworks and policies by supporting identification and remediation of gaps in compliance. What you'll be doing Support validations of new and revised statistical models to ensure models across the business are fit for purpose. Provide assurance on compliance with the regulatory requirements we work within. Utilise your technical skills in data manipulation … owners, gathering materials for analysis, challenging model performance or development and documenting findings. Generate model validation reports and ensure that validation actions are followed through to a resolution. Providing statistical expertise to inform the discussion between Model Development and Independent Model Validation as part of the model build and model review process. Present model validation findings to technical forums More ❯

Souza Senior Technical Pricing Analyst: An opportunity has arisen to join Ageas's Underwriting department in the Technical Pricing team. Technical Pricing are responsible for the production of specialist statistical risk models for our insurance products including Private Car, Van, Bike and Household. While we have offices in London, Eastleigh and Bournemouth, we will accommodate working from home full … models and deploying the latest data science techniques to generate profitable business growth. The Senior Technical Pricing Analyst will support projects, assisting in data preparation, performing, and reviewing actuarial modelling and interpreting results that drives high impact and, intelligent pricing solutions - all of which will help drive our competitive positioning. This role has a strong research and development focus … as an Actuary. Main Responsibilities: Creating complex, robust actuarial models and interpreting the results to deliver high impact, innovative pricing. Assisting in the production of ad-hoc actuarial and statistical analyses, working with stakeholders across the company to solve a wide range of business problems Producing reports, documentation, and presentations to communicate statistical models and results to key More ❯

our people to make an impact and develop their own unique career path. This is an opportunity to take a leading role in expanding RSM's capabilities in quantitative modelling solutions and being a part of our broader financial modelling and analytics community. You will play a key role in developing sophisticated statistical models and tools for … regulatory landscape. Additionally, this capability will provide crucial support to RSM's Audit business by reviewing and challenging financial models, particularly in areas such as expected credit loss (ECL) modelling and broader Financial Services matters. Working closely with Partners and Directors, you will have the opportunity to shape our methodologies, tools, and processes. A proactive approach to stakeholder engagement … and working to agreed budgets, managing risk and maintaining high levels of quality and good commercial outcomes. Completion of associated documentation to a high standard is expected. Developing complex statistical models and tools; techniques including (inter alia) regression analysis, time series and survival analyses, Monte Carlo simulation. Coding and review of tools in modern computing languages (e.g. R, SAS More ❯

trading data from multiple exchanges and platforms using big data frameworks. Design and optimize real-time and batch processing pipelines for large-scale market data ingestion and analysis. Build statistical and machine learning models for anomaly detection, behavioral analytics, and alert generation. Ensure solutions are compliant with global Market Abuse Regulations (MAR, MAD, MiFID II, Dodd-Frank, etc.). … model logic, assumptions, and validation results for regulatory audits and internal governance. SKILLS Must have Technical Skills: 7+ years of experience Investment banking domain experience Advanced AI/ML modelling (Python, PySpark, MS Copilot, kdb+/q, C++, Java) Must be well versed with SQL and have hands on experience writing SQL (preferably Spark SQL) that is productionized (not … ad-hoc queries) for at least 2-4 years Familiarity with Cross-Product and Cross-Venue Surveillance Techniques particularly with vendors such as TradingHub, Steeleye, Nasdaq or NICE Statistical analysis and anomaly detection Large-scale data engineering and ETL pipeline development (Spark, Hadoop, or similar) Market microstructure and trading strategy expertise Experience with enterprise-grade surveillance systems in banking. More ❯

as stock, options, ETFs and futures, 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 to improve business performance while working closely with traders and salespeople on the trading floor to bring value to our clients and the firm. … across equities products from cash to derivatives. Implement automated hedging algorithms, and build platforms to manage risk centrally across asset classes Build and expand data pipelines for our advanced statistical and AI models, operating at scale with large quantities of time series data Drive our market making platform development using a range of technologies, and collaborate closely with Quant More ❯

capabilities, and drive greater productivity, efficiency, and customer value. This could include developing personalised investment experiences, advanced predictive models, and solutions using a range of model types-from small statistical approaches to large language models (LLMs)-that streamline processes and improve decision-making. You will apply engineering best practice to move rapidly from concept to production, ensuring every solution … role for someone who combines technical excellence, innovation, and a leadership mindset to make a tangible impact. Key Responsibilities Design, develop, and deploy solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applying them to diverse use cases such as personalised customer experiences, predictive analytics, process automation, and insight generation-using both … and guide peers, acting as a trusted advisor and contributing to a culture of continuous learning Essential Proven experience designing, developing, and deploying solutions and models ranging from small statistical and machine learning models to large language models (LLMs), applied to varied business and customer contexts-including personalised experiences, predictive analytics, process automation, and insight generation-using both proprietary More ❯

a culture of curiosity, rigor, and human-centered design. This role requires strong expertise in both qualitative and quantitative methods, with a particular emphasis on advanced survey design and statistical analysis. In this role, you will: Lead and execute mixed-methods research studies with minimal supervision, integrating qualitative and quantitative approaches to uncover user needs and behaviors. Design and … . Intermediate proficiency in SQL. Extensive experience in mixed-methods research, with a strong foundation in both qualitative techniques (e.g., interviews, usability testing) and quantitative methods (e.g., survey design, statistical modeling). Intermediate to expert-level experience with Qualtrics or other survey platforms (Qualtrics highly preferred). Proficiency in fielding site intercepts is strongly desired. Comfortable working in a More ❯

Ideally experience with data processing tools like DBT and Dask. Experience in Python data science space - LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face etc. Understanding of statistical and machine learning models. Knowledge of experimental design, statistical testing and model validation. Experience in data visualization tools such as plotly, seaborn, streamlit etc would be an advantage. … Understanding of data modelling and exposure to tools like metaflow or airflow is desirable. Understanding of common software practices like version control, continuous deployment, and testing. Industry, or equivalent academic experience in researching and developing Generative AI powered Products and services. You are: Curious and have a learning mindset. A pragmatic, critical thinker, asking the right questions, and backing More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

for a Technical Pricing Manager to generate incremental lifetime value of our portfolio through the delivery and development of retail pricing models and optimisations using innovative and cutting-edge modelling approaches. You will help continuously improve the pricing process and enhance the abilities of the wider team, as well as being involved with integrating and establishing the use of … advanced data science and statistical techniques to enhance pricing model accuracy and output. Key Responsibilities End to end production of pricing models using a tailor-made pricing pipeline Use of Earnix to build predictive statistical models and intelligently optimise customer prices Contribute and implement improvements to the pricing process to increase pricing performance and efficiency Contribute and lead … research and development opportunities to help innovate and improve current modelling and pricing methodologies Evaluate and utilise tools and data items created by the data science teams Ensure all activity is compliant with pricing governance and follows established controls Work closely with the Commercial Pricing Team to ensure pricing models meet business objectives, and manage relationships with key stakeholders More ❯

scope includes products such as stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate closely with traders and sales to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative Trading … Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical analysis and techniques like neural networks to create models that inform systematic trading and risk management decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other methods. Create model calibration frameworks … for advanced statistical and AI models, handling large-scale time series data. Advance our market making strategies using diverse technologies and collaborate with Quant Developers and engineering teams. Basic Qualifications Strong academic background in physics, mathematics, statistics, engineering, or computer science. Proficient programming skills in languages such as C++, Java, or Python. Self-motivated with excellent self-management skills More ❯

handle various products such as stocks, options, ETFs, and futures, employing strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate with traders and sales to add value for clients and the firm. Role Responsibilities Lead our Quantitative Trading & Market … Making desk, developing strategies for equities, derivatives, and cash products. Apply advanced statistical and AI techniques, including neural networks, to build models that inform systematic trading and risk decisions in real time. Develop frameworks for risk management and portfolio optimization across asset classes using factor models and other techniques. Create scalable model calibration frameworks for large-scale time series … data using statistical and AI models. Advance our market-making strategies through technological development, collaborating with Quant Developers and engineering teams. Basic Qualifications Strong academic background in physics, mathematics, statistics, engineering, or computer science. Proficiency in programming languages such as C++, Java, or Python. Self-motivated with excellent management skills, capable of handling multiple priorities under pressure. Excellent communication More ❯

product types such as stocks, options, ETFs, and futures, with strategies encompassing market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and work closely with traders and sales teams to deliver value to clients and the firm. Role Responsibilities Lead our Quantitative … Trading & Market Making desk by developing market making and quoting strategies for equities, from cash to derivatives. Develop models using advanced statistical and quantitative techniques, including neural networks, to inform systematic trading strategies and real-time risk management decisions. Create frameworks for central risk management and optimal portfolio construction across asset classes using factor models and other methodologies. Design … model calibration frameworks for large-scale statistical and AI models operating on extensive time series data. Advance our market making strategies through technological development and collaborate with Quant Developers and engineering teams. Basic Qualifications Strong academic background in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. Proficiency in programming languages like C++, Java, or More ❯

product types such as stocks, options, ETFs, and futures, with strategies including market making, automatic quoting, central risk management, systematic trading, and algorithmic execution across global venues. We deploy statistical analysis and mathematical models to enhance business performance, collaborating with traders and sales on the trading floor to deliver value to clients and the firm. Role Responsibilities Lead our … Quantitative Trading & Market Making desk by developing market making and quoting strategies across equity products, from cash to derivatives. Utilize advanced statistical analysis and techniques such as neural networks to build models that inform systematic trading and risk management decisions in real time. Implement frameworks for centralized risk management and construct optimal portfolios across asset classes using factor models … and other techniques. Develop model calibration frameworks for our statistical and AI models, operating at scale with large datasets of time series data. Advance our market making strategies using various technologies and collaborate closely with Quant Developers and engineering teams. Basic Qualifications Excellent academic record in a relevant quantitative field such as physics, mathematics, statistics, engineering, or computer science. More ❯