26 to 50 of 229 Model Validation Jobs in London

including data-quality reviews, root-cause investigations and resolution of operational issues affecting booking centres and front-office teams. Provide subject-matter expertise for model validation and enhancement across existing and new investment products, working with product, modelling and platform teams. Collaborate with Product, COO, Transformation, IT, Relationship … leadership experience, with a track record of building, developing or leading high-performing teams and influencing across regions. Strong quantitative analysis, financial modelling and model-validation capabilities, with a sound understanding of investment products, market dynamics and risk management. Practical experience with analytical tools such as Python ...

want broad quantitative exposure and genuine ownership, this role offers both. You’ll take responsibility for the end-to-end model risk management process for a defined subset of models within a wider inventory, covering validation, ongoing monitoring, change reviews and the communication of findings to senior management. … working with a major financial markets organisation to hire a Senior Model Risk Analyst. The model inventory spans market risk, liquidity risk and initial margin, giving you the chance to work across different methodologies and collaborate directly with the people developing, using and overseeing the models. ...

Moody's Investors Service seeks a senior AI risk and model validation leader to independently evaluate AI-enabled tools, agents, and quantitative models across asset classes. You will drive end-to-end risk management of Generative and agentic AI, design robust validation analyses, and ensure clear reporting ...

processes, onboarding, and governance**Digital Delivery Oversight/BIM Execution Governance*** Provide governance over BIM/Digital Delivery teams to ensure consistent execution of:* Model federation and coordination* Clash detection and resolution workflows* Geometry QA and model health monitoring* Naming compliance and Revit standards* Level of Development … definition and compliance* View templates and publishing workflows* Navisworks coordination* Discipline model management and consultant integration* Additionally, ensure implementation of:* BIM model auditing frameworks* Geometry compliance validation* Model coordination control* LOD validation and reporting**Lifecycle Digital Asset Integration*** Establish and govern the EMEA digital asset ...

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 ...

Clear Europe, based in London, is seeking a Senior Model Risk Analyst to join the Model Risk Management team. You will validate and monitor pricing and risk models used by the clearing house, ensuring accuracy, robustness, and regulatory compliance across margin, add-ons, and stress testing frameworks. … role requires advanced quantitative training (MSc/PhD) and 3+ years in model validation or risk analytics, with strong Python and SQL skills and a good grasp of VaR and backtesting. #J-18808-Ljbffr ...

have to be limited to activities primarily in the scope of Group Risk Analytics and can encompass, but is not limited to, model validation support, new model adoption support, cat model operations oversight and governance, and natural catastrophe research. Support the Natural Catastrophe Exposure Management Lead ...

data-labelling structures. Document data lineage, processes, business rules and control frameworks to provide transparency and auditability. Build and operate AI-monitoring controls covering model performance, fairness, bias, drift and validation. Support model-testing activities including hold-out testing, cross-validation and performance measurement. Contribute … analytics. Strong SQL and Python skills for data analysis, profiling and control development. Experience designing or operating data-quality rules, profiling routines or automated validation controls. Experience working with structured and unstructured datasets. Strong understanding of metadata concepts including classification, lineage, taxonomies and ontology modelling. Knowledge ...

supporting our cutting-edge AI-infused scenario planning platform. You will work closely with Data Scientists, ML Engineers, and Cloud Infrastructure teams to streamline model training, deployment, and inference while ensuring optimal GPU utilisation, reliability, and cost-efficiency. Your Impact Provision and manage cloud-native AI/ML infrastructure … platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible. Optimise GPU compute workloads, high-speed networking, and storage for efficient model training and low-latency inference. Build and maintain robust CI/CD and MLOps pipelines for continuous model training, evaluation, packaging, and production ...

.* Define the technical vision for AI products, ensuring solutions are **scalable, secure, maintainable, and aligned with business objectives**.* Provide deep expertise in **model development, experimentation, optimization, evaluation, and production deployment**.* Establish standard methodologies for **LLM evaluation, model benchmarking, AI quality measurement, and performance assessment**. … Evaluate emerging AI technologies, foundation models, and third-party solutions to find opportunities for innovation and business value.* Guide architectural decisions across **AI platforms, model-serving infrastructure, data pipelines, and MLOps/LLMOps capabilities**.* Partner closely with Engineering teams to **productionize AI solutions and drive operational excellence**. ...

proposals - to support management decision making and shaping better outcomes for our customers Leading second line assurance work on thematic reviews Collaborating with our model validation and model development teams to ensure understanding of the models that underpin our credit strategies Providing credit expertise and input into ...

turn complex challenges into working solutions. You look at a decisioning problem, ask what outcome we need, what data we have, and what model will work best design it and coordinate delivery with our offshore and client teams. You spot issues before they become problems, raise them, and solve … driven automation flows that respond to customer behaviour in real time Design integrations with marketing, commerce and service platforms to close the loop between model scores and actions Ensure automation is scalable, auditable, and aligned with consent and data governance requirements Delivery & Leadership Lead technical workstreams ...

turn complex challenges into working solutions. You look at a decisioning problem, ask what outcome we need, what data we have, and what model will work best design it and coordinate delivery with our offshore and client teams. You spot issues before they become problems, raise them, and solve … driven automation flows that respond to customer behaviour in real time Design integrations with marketing, commerce and service platforms to close the loop between model scores and actions Ensure automation is scalable, auditable, and aligned with consent and data governance requirements Delivery & Leadership Lead technical workstreams ...

online platforms. Established in 1804, we have around 5,500 people across 36 global locations. Schroders' success can be attributed to its diversified business model, spanning different asset classes, client types and geographies. About Us We're a global investment manager. We help institutions, intermediaries and individuals around … have everything we need to work flexibly. The team The Quantitative Risk team sits within the independent Group Risk function and providesfirmwide oversight of model risk and governance. The team also develops and enhances risk models and oversees the monitoring and control of business-critical tools used across ...

agents, and shared skills; Accio, our centralised MCP server, which consumes other MCP servers and presents enterprise datasets through one governed interface; the AI model gateway and its routes to external model providers; and our Copilot services. Accio and Nexus matter most: both propagate permissions and data … than asserted. Your responsibilities Act as security design authority for AI systems, leading threat modelling, architecture review, and risk assessment for agentic applications, the model gateway, Accio, Nexus, and any novel or high-risk AI initiative, applying STRIDE, PASTA, MITRE ATT&CK, and MITRE ATLAS as appropriate. Define ...

project stakeholders. Manage and maintain Common Data Environments (CDEs) to ensure accurate, controlled, and timely sharing of project information. Lead and support clash detection, model federation, model validation, and design coordination using tools such as Navisworks, Revit, and Solibri. Review and coordinate multidisciplinary BIM models to identify … management, and BIM coordination processes. Proficient in Revit, Navisworks, AutoCAD, and CDE platforms such as BIM 360, Viewpoint, or Asite. Experience with clash detection, model coordination, and multidisciplinary BIM environments. Strong understanding of construction processes, particularly within commercial fit-out or complex construction projects. Excellent communication and coordination skills ...

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 ...

data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team. Ensure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer. Communicate complex analytical findings to non-technical stakeholders through clear visualisations and executive summaries. In the first … scientific, agricultural, life-science or Crop Protection-related outcomes Strong knowledge of Python and relevant data science, analytics and modelling tools Strong understanding of model validation, robustness assessment and the interpretation of predictive-model performance Experience analysing complex datasets and translating findings into clear, actionable insights Experience ...

used to mitigate fraud risk within ICB. You will work with multiple partner teams—including Strategy, Technology, Product Management, Legal, Compliance, Business Management, and Model Governance — to ensure the models meet the firm's high governance standards and regulatory requirements, and support audit and other business functions around model … leading vendors for detecting and preventing fraudulent activities. Job Responsibilities Develop and manage proprietary fraud models and perform due diligence for vendor models. Validate model performance on internal data, ensure modelling choices are appropriate for the portfolio, decisioning context, and operational constraints. Work closely with platform engineers to support ...

Forecasting function, including Marketing Mix Modelling and media effectiveness capabilities. The role will build robust internal tools, simulation frameworks, QA processes, and model monitoring routines that improve forecasting accuracy, scenario planning, and marketing decision‐making. They will work closely with project managers, analysts, data scientists, data engineers, and marketing … simulation and scenario planning tools that help marketing teams evaluate media investment, campaign strategies, pricing, promotions, and potential sales outcomes. Support and improve the model performance monitoring process, including tracking forecast accuracy, identifying systematic bias, capturing stakeholder feedback, and feeding these learnings back into model development. Success will ...

functional planning Data Engineering & Architecture Design and build high-performance ETL/ELT pipelines across operational, analytical, and AI data layers Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks Hands-on ownership of the most complex implementation work Data Modelling & Design Define and evolve … DevOps, CI/CD & AI Ops Own CI/CD for data pipelines using Git-based workflows, deployment governance, and rollback handling Orchestrate ML model outputs into production pipelines with resilience controls Drive AI tooling adoption across engineering: code generation, data profiling, documentation, and testing Implement structured logging, alerting ...

grow a cross‐functional team of software engineers (and closely partnered OR/data science specialists) Own technical direction and delivery for products that model, optimise, and operationalise solutions to disruption and crewing problems (e.g., recovery planning, re‐optimisation, what‐if analysis). Drive architecture and design decisions … down ambiguous problem statements, and define measurable outcomes and acceptance criteria. Collaborate with OR/optimisation experts to integrate solvers (e.g., Gurobi) and ensure model performance, correctness, explainability, and maintainability. Establish strong engineering practices: code review, automated testing, CI/CD, release management, incident response, and post‐incident learning. ...

models, manage experimentation at scale, operationalise discoveries and deliver production-quality AI depends on the ML platform, tooling and practices that underpin the entire model lifecycle. THE POSITION We are seeking a senior leader inMLOpsEngineeringto join Computational Innovation's AI Accelerator (@computationalinnovation). In this role, you will … models can move efficiently from experimentation to reliable production deploymentand support. You will define the tooling, platforms and engineering practices that enable large-scale model training, experiment tracking, deployment, monitoring and governance. This is both a strategic and hands-on technical leadership role. You will define architecture and standards ...

risk appetite thresholds and working with management on appropriate mitigants. Present stress testing methodology, results and management actions to the Stress Testing Committee, Market Model & Methodology Committee and, where required, regulatory supervisors. Act as a key contributor to the model governance process for FX and rates derivatives pricing … models, providing independent market risk input to model validation and approval processes. Lead the development and enhancement of in-house risk analytics tools (Python-based Greeks calculators, P&L explain frameworks, scenario engines) to support real-time risk management of complex exotic and structured portfolios. Identify and elevate ...

teams to ensure models are fit for purpose, well-integrated, and aligned with business objectives. Partner with control functions including Market and Credit Risk, Model Validation, Audit, Finance and Legal to uphold sound governance and robust model oversight. Assess the risk and reward profile of modelling decisions … numerical methods, with the ability to solve analytical equations and design numerical schemes for complex financial contracts. Practical experience with Python for quantitative research, model development, or analytical workflows. Knowledge of financial products, investment instruments, and quantitative methods as applied in trading or risk management contexts. Clear and concise ...