23 of 23 Model Validation Jobs in Central London

single asset class, you'll work across Rates, FX, Equity, Credit and Hybrid Derivatives , partnering with specialist quant teams to drive pricing model quality, governance and consistency. A key part of the role is acting as the technical lead for Hybrid Derivatives and cross-asset pricing models, including products … asset classes, as well as pricing models that incorporate multiple asset classes. The Role: Working closely with Front Office Quantitative Analytics, Trading, Quant Development, Model Validation, Risk, Finance, Technology and Control functions , you will: Lead the Front Office Model Review capability across multiple asset classes. Provide independent ...

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 ...

driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping … testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test ...

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 ...

risk and valuation frameworks and industry best practices Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: Post-graduate degree … maths from a top tier university Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow ...

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 ...

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 ...

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 ...

integrity, transformations, and large datasets across complex environments. Hands-on expertise with Azure Data Factory (ADF) and Azure DevOps, including ETL workflow testing, pipeline validation, test management, and defect tracking. Advanced SQL skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation ...

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 ...

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 ...

remaining closely involved in the most commercially important analytical work. You will: Lead, mentor, and develop a team of Data Scientists. Establish modelling standards, validation frameworks, and best practices. Deliver forecasting, customer segmentation, propensity modelling, and machine learning solutions. Take ownership of complex analytical challenges from design through … senior stakeholders, translating analytical outputs into strategic recommendations. Help drive the adoption of AI tools and LLMs across the Data Science workflow. Support model deployment, monitoring, governance, and ML Ops practices. Influence the future growth and structure of the Data Science team. Your Skills & Experience We're particularly interested ...

errors, inconsistencies, limitations, and edge cases. Validate AI-generated solutions using professional STEM knowledge and established research principles . Document research methodologies, analytical approaches, validation processes, and technical reasoning in clear and structured formats. Provide expert feedback to improve AI accuracy, scientific reasoning, problem-solving capabilities, and output quality … Claude Code, Codex, OpenCode, or similar AI-assisted technical tools . Experience with data analysis, scientific computing, code debugging, computational research, or technical validation . Published research in peer-reviewed journals, conferences, or other recognized academic or technical publications . Experience evaluating AI-generated outputs, scientific content, technical analyses ...

identifying root causes and working with relevant teams to resolve them Build and maintain Python-based data workflows and pipelines for ingestion, transformation and validation of modelling data Maintain and develop historical data assets, ensuring they remain accurate, accessible and fit for analytical use Work with engineers to improve … upstream and downstream data flows, ensuring critical data is captured and processed effectively Ensure data quality and integrity through validation, reconciliation and targeted monitoring across key datasets Expand visibility into data issues by improving checks, alerts and investigative workflows across critical pipelines Define and improve data logic, transformations ...

rather than handing the modelling to someone else. Product & direction • Define and own the product vision, strategy, and roadmap for our Animal Health market model – spanning historical baselining, predictive analytics, and forward forecasting (e.g. demand, market sizing, and market share evolution). • Translate commercial questions from sales and marketing … external market sources, including the judgement calls when sources are imperfect. Stakeholders • Be the bridge between the commercial business, data science, and engineering – communicating model logic, assumptions, and limitations in language each audience trusts. Essential Strong applied proficiency in Python and/or R, including modern data ...

financing strategies, and client-driven solutions. Build strong relationships with senior stakeholders across Markets, translating complex quantitative concepts into actionable business decisions. Ensure robust model governance, validation support, and regulatory compliance across the quantitative analytics landscape. Lead and develop high-performing teams of quantitative analysts, researchers, and quantitative … fostering a culture of innovation and delivery excellence. To be successful in this role, we're seeking the following: Significant experience in quantitative analytics, model development, or quantitative product delivery within financial markets. Deep knowledge of derivative pricing, quantitative modelling, valuation methodologies, and risk analytics across one or more ...

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...