24 of 24 Model Validation Jobs in the City of London

liquidity risk associated with posted collateral. Our risk framework ensures resilience in dynamic market conditions while upholding the highest regulatory and operational standards. The Model Risk Management team, part of the Risk Oversight Department, is responsible for all aspects of model risk, encompassing model governance & control, model validation, and model performance monitoring across a wide range of applications. ICE Clear Europe is seeking a Senior Model Risk Analyst to join its Model Risk Management team. This role is responsible for validating and monitoring pricing and risk models used in the clearing house ...

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 ...

fraud models are highly predictive and market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. … approaches towards new fraud scores and models Consider the creation of new characteristics/attributes to improve and maximise the predictive power of the model(s) as well as enhancing and creating other analytical products and services. This can be done through expert approaches or through AI approaches (e.g. ...

Intelligence capability from driver‐based planning and package configuration towards ML‐driven forecasting. Owns the forecasting models from problem framing and data preparation through model validation, production integration, monitoring and adoption. The role works alongside the Planning & Performance Management practice and extends the range of propositions the practice … approaches rather than a single preferred method. Prepare and validate multi‐source data, engineer internal and external drivers, address seasonality and structural change, and model hierarchical relationships across products, entities, geographies or cost centres. Design rigorous back‐testing and time‐series cross‐validation, compare against transparent benchmarks ...

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 ...

Intelligence capability from driver-based planning and package configuration towards ML-driven forecasting. Owns the forecasting models from problem framing and data preparation through model validation, production integration, monitoring and adoption. The role works alongside the Planning & Performance Management practice and extends the range of propositions the practice … approaches rather than a single preferred method. Prepare and validate multi-source data, engineer internal and external drivers, address seasonality and structural change, and model hierarchical relationships across products, entities, geographies or cost centres. Design rigorous back-testing and time-series cross-validation, compare against transparent benchmarks ...

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 ...

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 ...

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 ...

Bank of America in London is seeking a Quantitative Finance Analyst to join the Enterprise Model Risk Management team. You will validate risk models and work with developers to ensure robust monitoring and regulatory readiness. The role requires an advanced degree in a technical field and strong Python skills ...

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 ...

cross-asset workflows. What's the role? We are looking for a senior product manager to run IPQA's analytics architecture and drive model delivery at scale, ensuring our analytics continue to lead as client and market needs evolve. You will work at the intersection of quantitative finance, engineering … clients across Terminal, Enterprise Data and Enterprise Products. At the core of this role is a founding conviction: analytics at scale require a model-agnostic design, where the architecture enforces consistency and transparency across models, asset classes and client workflows. You will work closely with our quant and engineering ...

motivated Quantitative Analyst with a strong technical background and client-focused mindset. You will review and validate models used across asset classes, produce validation reports and contribute to the firm’s governance framework. The role involves developing risk models, building tools to enhance risk management processes, and presenting conclusions ...

encourage applications from people with diverse and underrepresented backgrounds and perspectives. Why you? Design and implement AI/ML-driven solutions throughout the entire model development life cycle. Research and develop state‐of‐the‐art machine learning models and agentic systems to solve a variety of scientific tasks. Deliver ...

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 ...

proportionate, business-relevant advice, assurance and audit services. This role is responsible for leading and delivering specialist services in data governance, AI governance, AI model testing, and data analytics audits across Financial Services clients. As an Associate Director, you will act as a recognised subject matter expert across client … look into the role As an Associate Director within BRS, you will: Own and lead complex client engagements across data governance, AI governance, AI model testing, and analytics internal audit/risk within Financial Services, managing a significant portfolio of client relationships at senior stakeholder level. Lead strategic planning ...

An excellent opportunity for a Quantitative Analyst to join a highly talented and technically focused team based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets ...

presenting conclusions to relevant stakeholders. Deep expertise in data governance frameworks (e.g. DAMA DMBOK, DCAM) and AI governance,modelrisk management, and AI model testing and validation methodologies, including familiarity with emerging regulatory and industry standards (e.g. EU AI Act, NIST AI RMF,PRA SS1/ ...

Design reusable development frameworks and components, ensuring high standards across code quality, performance, testing and maintainability . Implement complex Salesforce configuration, automation, workflows, approvals, validation rules and security controls . Agentforce, AI & Data Cloud Design and develop Salesforce Agentforce and Agentic AI solutions , integrating AI-enabled capabilities into enterprise … solutions , with an understanding of how AI capabilities integrate into enterprise Salesforce processes. Strong knowledge of Salesforce architecture, administration, configuration, security models, workflow automation, validation rules and data management . Experience designing and supporting enterprise integrations using REST/SOAP APIs , alongside strong knowledge of Salesforce integration and application ...

Engineers to join the AI for Science (AI4S) team to design, implement and validate ML models for real‐world biomedical problems. You will drive model development across scientific tasks using HPC and large biomedical data sources. You will collaborate with biology, medicine and experimentation experts to ensure high‐quality … data for model development, deliver robust code in an agile environment, and contribute to state‐of‐the‐art AI/ML research and deployment. #J-18808-Ljbffr ...