376 to 400 of 460 Statistical Modelling Jobs in the UK

performing and re‐performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures Emphasis on loan‐level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls REQUIREMENTS Masters degree or PhD in Mathematics, Physics (non‐experimental), Probability/Statistics, Engineering … Mathematical) Finance Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset‐backed structured products Minimum of 3 years of relevant professional experience at a top sell‐side or buy‐side institution in a front office quantitative role Exceptional ...

performing and re-performing loan (NPL/RPL) securitizations and whole loan portfolios within private structures* Emphasis on loan-level and cashflow modelling across illiquid mortgage credit, including collateral analysis, recovery assumptions and structural waterfalls**REQUIREMENTS*** Masters degree or PhD in Mathematics, Physics (non-experimental), Probability/Statistics, Engineering … Mathematical) Finance* Must have a familiarity with mortgage products, Intex and data analysis or empirical modelling is a strong plus alongside asset-backed structured products* Minimum of 3 years of relevant professional experience at a top sell-side or buy-side institution in a front office quantitative role* Exceptional ...

well-documented. You will work with PackUK and regulators, guiding data requirements and governance while coordinating across teams. The position requires advanced R skills, statistical modelling, reproducible pipelines, and strong collaboration with stakeholders. #J-18808-Ljbffr ...

Description Purpose of the role To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. Accountabilities Acquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds. Performing data cleaning … quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real-time ...

Quantitative Trading & Research Markets team at JPMorganChase, you will join a leading quantitative modeling group focused on systematic trading, financial engineering, data analytics, statistical modeling, and portfolio optimization. Job Summary You will work closely with traders, sales, marketing, technologists, and risk managers across products and regions. You will support … will help build quantitative models, methodologies, and infrastructure to price, hedge, and trade financial products, advancing algorithmic trading and data-driven strategies such as statistical arbitrage. ABOUT THE PROGRAM Our Global Markets teams develop sophisticated solutions to help clients manage risk, increase returns and solve complex financial problems. ...

Experience crafting data-driven narratives to influence leadership decision making. Experience of successful business partnering with executive business or product leaders. Experience in applying statistical methods and forecasting. Experience with code management concepts (e.g., google3, cider, blaze) and a desire to evolve at pace with AI. Knowledge … technology to transform financial analyses and operations, proactively enhancing the depth of your insights to drive business impact. Manage a portfolio of projects, applying statistical methods to model, decompose, and forecast search engine and auction performance. Act as the connective tissue between global and regional teams to ensure local ...

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support data … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

analysis and visualization to translate complex, multi-dimensional datasets into high-impact, executive-ready insights, and then presenting to senior leadership. Quantitative KPI & SLO modelling to architect, establish, and continuously evolve the global KPI and Service Level Objective (SLO) frameworks for application stability, ensuring alignment with enterprise risk appetite … proven ability to leverage data technologies to modernize stability governance, automate manual reporting, and eliminate operational toil. Data Proficiency: Mastery of data transformation, statistical analysis, and predictive modelling using large, complex, and unstructured datasets. Technical Proficiency: Ability to leverage advanced Excel (VBA, Power Pivot) and executive presentation tools ...

using the latest cloud based technologies, techniques and tooling. Be part of a growing and diverse team tasked with creating the next generation of statistical models, machine learning algorithms and AI based products and services. We believe great things happen when teams connect. Our schedule is built around … high-impact, in-office collaboration (Monday–Thursday) , paired with Friday Flexibility to wrap up your week remotely. What You’ll Do Develop market leading statistical fraud models and pseudo-models for the Equifax UK business e.g. consumer fraud models, commercial fraud models, synthetic fraud, payment intent models, and loan ...

will work with wet-lab scientists, product and software engineers to translate complex genomic questions into scalable computational workflows. The role emphasizes algorithm development, statistical modelling, and production-quality software engineering, with a focus on accuracy, scalability, and robust testing in both local and cloud environments. #J ...

quantum computing and communication, and many more. We believe that many obstacles in developing these technologies can be removed using a combination of simulation, statistical modelling and optimisation techniques. Infrastructure Engineer Cambridge, UK Start date: September 2026 or ASAP Contract: Permanent, full‐time role About Us Founded ...

related field, or equivalent practical experience. 4 years of experience with empirical analysis to solve product, business, or policy problems, with econometric or advanced statistical modeling. Experience in big data analysis including statistical or econometric software (e.g., R, Python, Stata) and data query language (e.g., SQL) to manage … leverage big data to quantify and communicate Google’s contributions to the economy and society. You will be instrumental in combining advanced econometrics and statistical modeling with datasets to produce insights. You will also have the opportunity to support the team’s investigative work, including on macroeconomic monitoring ...

simple to understand, straightforward manner. Support model-related internal and external audits. What You’ll Need Knowledge of model validation techniques, including desktop reviews, statistical testing and challenger model development. An ability to critically analyse and validate complex statistical models across a range of business areas, utilising … balance of business and regulatory knowledge combined with statistical rigour. An understanding of the prudential regulatory environment, including Regulatory Capital frameworks (Standardised and IRB), IFRS 9, and most importantly Model Risk Regulation (SS1/23). Degree educated in a mathematical or analytical field. Experience of operating ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track record … problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

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 ...

decision science, data science, credit risk analytics, model validation or a related quantitative role. Strong knowledge of statistics and data science, with sufficient modelling expertise to reproduce, evaluate and independently challenge predictive models. Advanced SQL skills for data extraction, validation, reconciliation and performance analysis. Advanced Python skills for statistical ...

DescriptionPurpose of the roleTo design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision-making by analysis and solving complex problems. AccountabilitiesAcquisition and collection of data from various sources, including internal databases, external datasets, and real-time feeds. Performing data cleaning and pre-processing … quality and suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real-time ...

Partner with EMEA & APAC HR and business leaders to translate complex workforce challenges into actionable, hypothesis-driven analytical projects. Design, build and validate predictive statistical models (e.g., attrition, headcount, talent forecasting) to drive strategy. Translate complex quantitative outputs into clear, compelling narratives tailored for non-technical stakeholders. Partner with … consultative/technical capacity. Proficiency in SQL, Tableau, Excel, or similar data visualization and manipulation tools. Strong expertise in advanced analytics and statistical modeling. Working knowledge of HRIS platforms such as Workday, SuccessFactors or Oracle, as well as a solid understanding of core HR processes and People data. Ability ...

uptime and revenue. About The Role As a Data Scientist, you will work at the intersection of data science and production systems, deploying advanced statistical models and machine learning methodologies directly within operational environments. You will collaborate closely with engineering and infrastructure teams to optimize GPU utilization, workload scheduling … Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency in Python and scientific computing libraries (NumPy, pandas, SciPy, scikit‐learn, PyTorch or TensorFlow) Demonstrated experience designing and analyzing controlled experiments ...

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 … 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 ...

digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with multidisciplinary teams of clinicians, data scientists, and biomedical researchers. Responsibilities include designing and implementing … equivalent scientific computing tools Experience with deep learning frameworks and large-scale data analysis Knowledge of whole-slide imaging and computational pathology workflows Strong statistical analysis and data modelling skills Ability to manage and interpret complex biomedical datasets Excellent scientific writing and communication skills Experience in securing ...

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 ...

model reviews independently. Strong knowledge of market risk, liquidity risk or initial margin models Python and SQL skills, plus an understanding of option pricing, statistical risk modelling, backtesting and stress testing The ability to present complex findings clearly to technical and non-technical stakeholders Experience with exchange-traded ...

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 ...