1 to 25 of 42 Model Validation Jobs in Central London

Title: Senior Rates Pricing Quant – First Line Model Review Location: London (Hybrid: 3 days/week in-office) Contract Duration: 6-month Role Summary Sitting directly in 1st Line Core Strats, this role provides immediate impact on shaping and challenging non-linear Rates pricing models. The successful candidate will … senior quantitative modeller, conducting technical reviews, developing benchmark test suites in Python, and refining model documentation in LaTeX prior to formal 2nd line validation submission. Responsibilities We are seeking a modeller rather than a software developer. The successful candidate should be able to: Review and challenge model ...

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 ...

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 ...

Assurance/Validation Practice Leader AI Assurance/AI Validation Financial Services To 170k base + equity London An exceptional opportunity for a AI Assurance leader to join a global leader in AI Leading the AI Assurance and Validation capability across Financial Services you will build … lead the team, lead across GTM capability and drive revenue. Create value around model validation and 2nd line Defence. This is a unique career defining role where you will shape and develop the capability. Essential criteria You bring a strong technical background in model risk management, specifically ...

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 ...

Lorien in London is seeking an AI Assurance/Validation Practice Leader to head the AI Assurance and Validation capability within Financial Services. You will build and lead the team, shape GTM capability, and drive revenue while defining how model validation and second-line defence create … value for clients. The role requires a strong technical background in model risk management for AI/ML, a deep understanding of financial risks, and the ability to engage with auditors and regulators on global #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

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 ...

improve machine learning models and algorithms for Content AI applications. Design and implement end-to-end machine learning solutions, including data preparation, feature engineering, model training, validation, deployment, monitoring, and continuous optimisation. Apply statistical analysis, experimentation, and data-driven decision-making to assess model performance and guide … applications, RAG systems, and Generative AI capabilities for content understanding, summarisation, classification, and recommendation use cases. Build evaluation frameworks and observability solutions to monitor model quality, reliability, latency, drift, and business impact. Evaluate trade-offs between model quality, scalability, latency, and infrastructure cost when developing AI-powered products. ...

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 ...

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 ...

deliver BIM standards and a digital strategy across pre-contract and project delivery phases. The role requires technical leadership to implement BIM processes, model validation and 4D planning, with a focus on collaboration and continuous improvement. You will work with EIR/BEP reviews, 3D model federation ...

healthcare applications. The role sits at the intersection of clinical practice, software engineering, data science, and AI , with a strong focus on patient safety, model reliability, regulatory compliance, and real-world clinical impact. The successful candidate will work closely with clinicians, data scientists, ML engineers, software engineers, product teams … deep-learning models using appropriate clinical datasets. Develop robust data pipelines for clinical, imaging, laboratory, physiological, and/or electronic health-record data. Implement model evaluation frameworks covering performance, calibration, robustness, bias, uncertainty, and clinically relevant endpoints. Support prospective and retrospective validation of AI systems in clinical environments. ...

shape the operating model. The role involves documenting as-is processes, bridging between business, SMEs, executives, and delivery teams, defining requirements, and supporting AI model validation and ongoing #J-18808-Ljbffr ...

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 ...

Develop and evaluate statistical and machine learning models. Build segmentation, propensity, forecasting and personalisation solutions that reach real customers. Apply rigour to feature engineering, validation and model performance. Design and evaluate experiments to understand genuine impact. Work with Data Engineering to create reliable model inputs and productionise ...

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 ...

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 ...