201 to 225 of 419 Model Validation Jobs in the UK

used by institutional clients. As an early member of a small, senior team, you will work end‐to‐end across research, prototyping, data engineering, model implementation, production systems, and client‐facing applications. This is a high‐ownership role for someone who is comfortable contributing wherever needed in a fast … empirical methods, and the application of these concepts in the investment industry. Familiarity with cloud infrastructure, containerisation, orchestration, and CI/CD for model deployment. Experience in building institutional‐grade analytical tools or dashboards for sophisticated end users. Prior experience in a startup or early‐stage technology environment. Compensation ...

About CyberCube: CyberCube delivers the world's leading analytics to quantify cyber risk , translating one of the most critical risks of today and the future into financial impact for businesses, markets, and society. AI at ...

Your role Corpay is currently looking to hire a Sales Analyst within our Sales & Data Transformation team. This position falls under our Internation Vehicle Payments (IVP) line of business and can be located in London ...

Your role Corpay is currently looking to hire a Sales Analyst within our Sales & Data Transformation team. This position falls under our Internation Vehicle Payments (IVP) line of business and can be located in London ...

Your role Corpay is currently looking to hire a Sales Analyst within our Sales & Data Transformation team. This position falls under our Internation Vehicle Payments (IVP) line of business and can be located in London ...

every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies … OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflows Ability to own the full model-development lifecycle, including problem framing, data exploration, solution design, estimation, validation, deployment, and ongoing monitoring Ability to explain, present, and demonstrate complex modeling ...

supporting basis development, pricing and underwriting rules for UK individual and enhanced annuities products. Responsibilities include planning, evidence synthesis, data sourcing, data analysis, model design, validation and results communication. As part of these projects, you will be transforming quantitative and qualitative analysis into assumptions and uplifts ...

build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international football and deliver actionable insights to a wide range of stakeholders. Leveraging their technical expertise, the Research & Development Data Scientist … accelerate the speed of development. Maintain high standards of statistical rigour, ensuring any findings that are communicated to stakeholders have been appropriately validated. Monitor model performance over time, refining where necessary to ensure continued accuracy and relevance. Contribute to a culture of peer review within the team, offering ...

professionals and directing external third-party service providers. You would be accountable for the implementation of the full lifecycle of AI solutions including model development, validation, deployment, and integration into other systems while providing feedback to continue to evolve the AI platform. Why This Role? Work … deploy AI models and algorithms to address business challenges. Conduct data analysis and pre-processing to ensure high-quality input for AI models. Standardise model usage matching fit-for-purpose use cases and personas. Champion ethical AI practices and model governance and compliancewith data security and privacy regulations ...

Aviva plc in the UK seeks an AI Model Risk & Governance Lead to oversee independent validation of advanced analytics and AI models across pricing, reserving and customer segmentation. You will partner with model owners and risk teams to challenge and strengthen governance and regulatory compliance. The role ...

developing, maintaining and applying stress testing and related models across market and counterparty credit risk. You will work with the Stress Testing Group, Model Validation and IT to implement models, calibrate parameters and produce governance-ready documentation for regulators and internal stakeholders. #J-18808-Ljbffr ...

coordinate BIM delivery across civil infrastructure projects, working with early career professionals to experienced engineers and digital leads. You will contribute to digital workflows, model validation, and quality control while expanding your skillset through training, mentorship, and access to cutting-edge technologies. #J-18808-Ljbffr ...

Sompo Holdings, Inc. in London is looking for an AVP, Risk Modeling to lead catastrophe model validation, change, and implementation efforts. You will document methodologies, assumptions and testing, and work with Portfolio Analytics to translate results into actionable insights for underwriters. You will also drive system and reporting ...

will develop, test and operate modelling tools and assumptions powering client advice and LCP's investment technology. The role spans calibration, scenario generation, model validation and collaboration with developers to advance LCP Visualise and related tools. The ideal candidate brings strong ALM experience for pensions or institutional owners ...

authoring tools, such as MicroStation, Revit, OpenRoads, OpenRail, and Navisworks. Experience managing and validating asset information using tools such as AIMS and IFC model validation processes. Working knowledge of data transformation, quality assurance, and analysis tools, including FME and Power BI. Experience coordinating multidisciplinary design information and resolving ...

authoring tools, such as MicroStation, Revit, OpenRoads, OpenRail, and Navisworks. Experience managing and validating asset information using tools such as AIMS and IFC model validation processes. Working knowledge of data transformation, quality assurance, and analysis tools, including FME and Power BI. Experience coordinating multidisciplinary design information and resolving ...

Scientist in London to join the Genomics team. You will define data needs for AI models, ensure high-quality ground truth, and validate foundational model success with rigorous evaluations. You will work with deep-learning, engineering, and translational teams to shape data requirements, provenance, and performance, contributing across ...

fluids, extreme temperatures, vacuum conditions) Apply improved modeling to real pump and component design — sizing, configuration trade-offs, materials, manufacturability Assess and build out validation data through client relationships and public/academic sources Work with clients and the software team to shape the technical roadmap for this work ...

components that interact closely with smart contracts and onchain state. You will also work closely with Quant Engineers. Quant owns the financial models, assumptions, validation, and calibration. Backend owns the production systems, data pipelines, and services that run those models. Smart contract engineers own their onchain integration and enforcement. ...

control strategies, and failure responses Perform trade studies to support architecture and design decisions Validate and maintain engineering models throughout the development lifecycle Verification & Validation Generate test specifications, procedures, and acceptance criteria Support laboratory, rig, subsystem, and system-level testing activities What You'll Bring To help us make ...

analysis, including data preparation, testing, calibration, optimisation, and maintenance as models and data evolve. Develop AI‐assisted research and modelling workflows, including data engineering, model design, evaluation, and monitoring. Translate theoretical research and investment logic into efficient, testable, and maintainable code. Rapidly prototype new modelling approaches and analytical tools … maintain robust backend systems, data pipelines, and APIs supporting both internal research and client‐facing applications. Design, operate, and evolve cloud‐based data and model workflows, including orchestration, scheduling, monitoring, and failure handling. Contribute to system architecture, performance optimisation, and scalability as the platform and dataset complexity grow. Establish ...

operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems … graph analytics and time‐series analysis. Prepare, transform and integrate large, multi‐source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof‐of‐concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production ...

operational users to develop and deploy analytics solutions that enable insight and mission advantage. Typical engagements include: Intelligence data exploitation and advanced analytics ML model development and optimisation Natural Language Processing (NLP), data matching and pattern detection Data triage and automated analysis of large datasets Operational decision-support systems … graph analytics and time-series analysis. Prepare, transform and integrate large, multi-source datasets (e.g. sensor, geospatial and communications data) for analytics and model development. Develop predictive models, prototypes and proof-of-concept solutions to identify patterns, trends and anomalies. Implement, train, tune and validate models within secure, production ...

Permanent Overall Purpose of Role: The Financial Risk team provides second line oversight and challenge on LME Clears financial risks (market, credit, liquidity and model risk) to ensure that these risks are managed in line with risk appetite, policy and regulation. The purpose of the role is to validate … models and methodologies used to manage financial risk and assist with enhancing and embedding the model risk management framework throughout the organisation. LME Group is the world center for industrial metals trading and clearing. Most of the world’s non-ferrous metals business is conducted on the LME totaling ...

build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international football and deliver actionable insights to a wide range of stakeholders. Leveraging their technical expertise, the Research & Development Data Scientist … accelerate the speed of development. Maintain high standards of statistical rigour, ensuring any findings that are communicated to stakeholders have been appropriately validated. Monitor model performance over time, refining where necessary to ensure continued accuracy and relevance. Contribute to a culture of peer review within the team, offering ...