1 to 25 of 37 Model Validation Jobs in Central 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 … deep understanding of quantitative finance, modeling, and model validation, coupled with practical experience is required, along with a good understanding of financial products and markets. A deep understanding of AI model risk management, including risks and controls specific to Generative AI and Agentic AI, and their implications ...

deep expertise in financial risk modelling and play a leading role in shaping a strategically important capability for the Group., Direct experience of Internal Model Method (IMM) development and/or regulatory approval activities is essential for this role. The role will involve leading modelling workstreams, influencing senior stakeholders … experienced Counterparty Credit Risk modelling specialist to lead the development, enhancement and implementation of key components of Lloyds Banking Group's Internal Model Methodology (IMM) framework for Counterparty Credit Risk, supporting regulatory capital calculations, PRA submission activities, and the transition from standardised methodologies towards risk-sensitive internal models. ...

Date Saturday 26 September 2026 Salary Range £122,009 - £143,540 Title: Senior Manager - Internal Model Method (IMM) Location: London HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office … Front Office functions. Key responsibilities will include: Lead the development and enhancement of IMM methodologies for Counterparty Credit Risk. Deliver quantitative analysis supporting model approval and regulatory submissions. Engage with Model Validation, Audit and Regulatory stakeholders throughout the model lifecycle. Produce and maintain technical documentation, methodology ...

This is not a research role. It is a hands‐on engineering role focused on making ML systems reproducible, scalable, secure and dependable, from model packaging and release through to serving, monitoring, retraining and incident response. Build repeatable workflows for model training, validation, promotion, deployment and retraining. … Productionise models through packaging, versioning, model registry integration, deployment automation and safe rollback. Design CI/CD pipelines for ML systems, including automated testing, validation, release controls and environment promotion. Manage experiment tracking, model metadata and reproducibility across research and production. Build reusable tooling and platform capabilities ...

cases across Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions. Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight. Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based … case, data sensitivity, model type, deployment context, and regulatory exposure. Review complex or higher-risk AI use cases and provide risk-based recommendations to governance forums and senior stakeholders. Help define practical technical standards for responsible AI development, testing, validation, deployment, monitoring, and retirement. Framework and Control Development ...

Digital Grid Solutions team in EMEA, being part of the Energy Control Systems (ECS) practice. This role focuses on data management, data integration, network model management and MDM (master data management). The customer base will primarily focus on transmission and distribution system operators, and occasionally on data centres … integration, DER/RES integration and corporate asset management. Responsibilities Develop and implement data governance practices, including data ownership, data quality controls, validation rules, metadata, versioning, and lifecycle management. Support data standardisation and harmonisation across network model datasets, systems, and stakeholders. Manage and maintain network model data ...

using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning and reproducibility, ensuring full auditability Designing feature engineering strategies and contributing to feature store development Monitoring live models, analysing performance and driving continuous …/GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain, LangSmith or LangGraph Understanding of model validation, evaluation techniques and production monitoring Experience working in cross-functional teams from problem definition through to delivery Strong communication skills, with the ability ...

models. Use data science techniques to support trading strategies and decision-making. Build, test and validate models using historical and live data. Continuously assess model performance and identify areas for improvement. Present analytical findings clearly to both technical and non-technical stakeholders. Contribute to the development of tools ...

provide ongoing production support including incident triage and root-cause analysis. Own end-to-end delivery with Technology on implementation, testing and deployment. Drive model governance and continuous improvement in partnership with Model Validation, including documentation, controls, and ongoing performance monitoring. Required qualification, capabilities, and skills Advanced ...

environments. Seeking Experience in most of the following: Python or similar scripting languages for data exploration and preparation. Machine learning and statistical methods, including model validation. Data analytics and visualisation techniques. Processing large datasets using batch or streaming tools such as Apache Spark. Data acquisition and fusion approaches. Cloud ...

grounded in trusted data and established metrics. About the role: We are seeking a Senior Data Scientist I to help with the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning … including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with ...

ready insights grounded in trusted data and established metrics. About the role: We are seeking a Data Scientist III to help the design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning … including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality). Analyse large-scale IP datasets to extract insights and improve model performance. Establish best practices for model evaluation, validation, and benchmarking. Translate experimental results into clear product recommendations and business impact. Collaborate with ...

data validity Uncover trends in multiple sports datasets Build and maintain data-driven predictive models Research and apply novel modelling techniques Build and maintain model validation metrics to regularly track performance Have awareness of the limitations of any model output Have an understanding of statistical robustness ...

under the FCA. Adhere to the operational risk framework for your role ensuring that all regulatory or company determined parameters are complied with. Role model for demonstrating highest level standards of integrity and conduct and reflecting Company Values. At all times complying with the FCA’s Code of Conduct … research pipelines. Solid understanding of statistics, probability, time series analysis and machine learning techniques relevant to financial markets. Experience designing rigorous back testing and model validation frameworks. Experience working with large structured and unstructured datasets. Exposure to alternative datasets, including satellite imagery, weather or geospatial data, would ...

business. Work with exposure management team, claims and other areas of the business to collect data to help inform VoR improvements. Conduct selection and validation of new Catastrophe vendor models and products, incorporating them into Canopius VoR and processes. Develop research agenda that delivers commercial value to Canopius, working … Modeler experience is required Highly numerical and strong mathematical/statistical knowledge Excellent business communication skills - ability to influence, negotiate, and listen Experience in model validation and view of risk work is highly desirable. Ability to manipulate large data sets with strong Excel and SQL skills. Strong experience ...

solutions. Strong Salesforce administration, configuration, implementation and development experience. Experience delivering large-scale Experience Cloud implementations. Expertise in Salesforce customisation, security models, workflow approvals, validation rules and data management. Strong Apex development experience, including classes, controllers, triggers, Visualforce and web services. Experience developing Salesforce integrations using REST and SOAP ...

business intelligence solutions, from requirements gathering through production deployment. Define and execute the AI and machine learning strategy, including use case prioritization, model lifecycle management, and Generative AI initiatives. Partner with Quantitative Research, Technology, and Product teams to develop, scale, and industrialize innovative AI and analytics capabilities. Drive … business-critical analytics solutions supporting deposits, liquidity exposure, balance sheet optimization, and revenue growth. Establish and maintain AI/ML governance frameworks, including documentation, validation, monitoring, bias reviews, and regulatory compliance requirements. Partner with Technology, Quantitative Research, and data platform teams to ensure adherence to analytics governance and firmwide ...

stakeholders to understand business problems and define analytical approaches Leading data discovery sessions and gathering requirements from subject matter experts Presenting insights, recommendations and model outputs to both technical and non-technical audiences Monitoring, refining and retraining models to ensure ongoing performance Collaborating with analysts, project managers and industry … Science experience within predictive modelling Advanced Python and SQL skills Experience building classification, regression and clustering models from the ground up Strong understanding of model performance, validation and optimisation Confident communicating insights to technical and non-technical stakeholders Experience with modern cloud and data platforms such as Databricks ...

questions are real and the appetite for answers is genuine. What Will You Do? Lead complex data science initiatives from problem definition through modelling, validation and implementation. Build predictive and machine learning solutions across priority customer and commercial use cases. Apply advanced statistical techniques to uncover behaviour, patterns … commercial opportunity. Design rigorous experiments and measurement approaches that reveal genuine incremental impact. Set best practice in feature engineering, validation, reproducibility and model evaluation. Work with Data Engineering to productionise high-value analytical solutions. Guide model monitoring, drift management and ongoing performance. Turn sophisticated analysis into clear ...

improving Reinforcement Learning models and agents Working with real-world data and telemetry Exploring reward engineering and policy optimisation Considering safety, reliability and model validation Taking ML models from simulation/research through to production Working closely with engineers and other technical teams to apply ML to real ...

clients and Bloomberg enterprise product teams to understand how firms expect to govern access — to content and to Bloomberg's capabilities — and validate the model against real firm behaviour. You'll need to have Strong product management experience in enterprise software, SaaS or platform products, leading initiatives from concept ...

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 ...

business problems through advanced analytics, experimentation, and statistical modelling. Build production-ready AI solutions from concept through deployment and monitoring. Establish best practices for model evaluation, testing, validation, and responsible AI. Design and improve AI systems using techniques such as prompt engineering, retrieval augmented generation … with modern AI and data science frameworks. Strong foundation in statistics, machine learning, and mathematical modelling. Experience designing evaluation frameworks for AI systems, including model performance and monitoring. Hands-on experience with Databricks, MLflow, Spark, or similar cloud-based data platforms. Knowledge of responsible AI, model governance ...

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 ...