1 to 25 of 155 Permanent Model Validation Jobs in London

rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us!Our Credit … Model Validation team is crucial in providing independent oversight and challenge to our model development teams in the first line of defence to help Monzo grow safely and ensure that the models we use deliver good outcomes for our customers. We’re looking for someone (maybe ...

Liquidity and Market Risk team. This is not a traditional liquidity reporting role. It is a hands‐on position focused on stress testing, model ownership, validation‐style testing and detailed analysis of model algorithms, code and data. The role would suit someone from a model risk … model validation, model governance or quantitative consulting background who enjoys getting into the technical detail. The role You will help manage and monitor a portfolio of critical risk models, ensuring they remain robust, reliable and compliant with internal model risk standards. You will test model ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Summary Traded Risk Model Validation is a group that performs in depth technical model validations of models covering pricing, market and counterparty credit risk of derivatives spanning … asset classes. This opportunity is for a validator to perform independent model validations of valuation models used for the books and records of the Group, for official risk reporting and uses in regulatory stress testing. This role will primarily focus on the validation of algorithmic trading models, assessing ...

join its Liquidity and Market Risk team.This is not a traditional liquidity reporting role. It is a hands-on position focused on stress testing, model ownership, validation-style testing and detailed analysis of model algorithms, code and data.The role would suit someone from a model risk … model validation, model governance or quantitative consulting background who enjoys getting into the technical detail.The roleYou will help manage and monitor a portfolio of critical risk models, ensuring they remain robust, reliable and compliant with internal model risk standards.You will test model behaviour under extreme ...

change lives through Monzo ️London/UK Remote | ð71,400 - 90,000 (depending on experience) + Incentive Awards tied to your performance + BenefitsOur Model Oversight teamThe second line of defence Model Oversight team (that’s us!) provides support to our colleagues in Borrowing, Fincrime & Fraud, Finance … Operations to help Monzo grow safely. We’re looking for a FinCrime Model Validation Manager to help ensure the Fincrime/Fraud models we use are not only good for Monzo but what's best for our customers.ðYou’ll play a key role by...Build relationships with first line ...

Cross Asset Model Validation Quant Quant Capital is urgently looking for a Model Validation Quant to join our high profile client.Our client is a well known tier 1 bank based in the city.The role is as a Quantitative Analyst to independently review, analyse and test derivative … pricing and risk management of products across all asset classes.Our Tier 1 Investment Banking client is currently seeking a Quantitative Analyst to join their Model Validation team, validating models across all asset classes for pricing and risk.Day to Day the Quantitative Analyst will:Review and analyse models using ...

# ML Model Governance LeadFinancial Services — Model Risk ManagementHybrid · London £95,000–£130,000 42 days ago 13 interestedModel Risk ManagementMLOpsModel ValidationSR 11-7Python## Job DescriptionThe ML Model Governance Lead owns the framework, processes and tooling that ensure machine learning models deployed in production are accurate … fair, compliant and monitored — a role that is rapidly becoming mandatory in regulated industries and is emerging in all large enterprises as AI model risk becomes a board-level concern.In financial services, the SR 11-7 guidance has defined model risk management for decades. In 2026, that framework ...

serve customers. As the use of Generative AI, Large Language Models (LLMs) and Agentic AI continues to expand, the need for robust governance, validation and oversight has never been greater.We are seeking an experienced AI specialist to join a growing AI Validation & Governance function in a high-profile … Vice President role. Reporting directly to the Head of AI Validation & Governance, you will play a pivotal role in defining how AI models are independently assessed, challenged and governed across the organisation.This is a unique opportunity to help build the framework that will underpin the safe and effective deployment ...

Model Validation Quant ContractQuant Capital is urgently looking for a Trading Desk Operations Specialist to join our high profile client. Our client is a Tier 1 Investment Bank. This is a first-line quant role — embedded with the quant desk and directly shaping modelling outcomes, not validating them … after the fact.This isn’t just about implementing models. It’s about being the person who sees the cracks before they become validation blockers.We need someone who can: • Challenge model assumptions • Spot weaknesses in structure, calibration, or data • Write documentation that defends the model with clarity ...

looking for a new member to join our cross-asset team in the Model Risk Governance and Review group which is responsible for end-to-end model risk management across the firm for electronic trading models. As a Quant Modeling Associate/Vice President in our Model Risk Governance and Review team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety ...

looking for a new member to join our cross-asset team in the Model Risk Governance and Review group which is responsible for end-to-end model risk management across the firm for electronic trading models. As a Quant Modeling Associate/Vice President in our Model Risk Governance and Review team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety ...

looking for a new member to join our cross-asset team in the Model Risk Governance and Review group which is responsible for end-to-end model risk management across the firm for electronic trading models. As a Quant Modeling Associate/Vice President in our Model Risk Governance and Review team, you will assess and help mitigate the model risk of complex models used in the context of valuation, risk measurement, the calculation of capital, and more broadly for decision-making purposes. Additionally, you will have an opportunity for exposure to a variety ...

Model Risk Specialist - Traded Risk, IMM FocusWe’re seeking someone to join our team as a Model Risk Specialist - Traded Risk, IMM Focus to the Model Risk Management team. Firm Risk Management In the Firm Risk Management division, we advise businesses across the Firm on risk mitigation … strategies, develop tools to analyse and monitor risks and lead key regulatory initiatives. Background on the Position This role resides within FRM's Model Risk Management (MRM) Department which provides independent model risk control, review and validation of models used by Morgan Stanley. These include models used ...

solid background in Machine Learning, Statistics and Predictive Analytics to join NTT DATA UK's Data Practice. You will contribute hands-on across the model development lifecycle, from data understanding and feature engineering through to model training, evaluation, deployment support and ongoing improvement. Experience with Generative/Agentic … optimisation, clustering and anomaly detection. Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. Compare model approaches, select appropriate metrics and explain technical trade-offs clearly. Build reusable notebooks, scripts ...

979e-7ab81c0e919cLocation: Stockholm; LondonSalary: 78293 - 111960 GBPType: Full timePosted: 2026-04-27Contact: ivy.chiang@klarna.comWhat you will do Perform independent end-to-end validation of credit risk (e.g., underwriting and limit management), finance (provisioning, offloading, profitability), and other models, rigorously reviewing and challenging all aspects: conceptual soundness, data integrity … feature engineering and selection, training and testing, regulatory compliance and fairness, documentation, deployment, monitoring and business impact. Independently replicate the model development process where necessary and conduct challenger analyses. Collaborate closely with first-line data scientists, machine learning (ML) engineers, and product stakeholders to understand models’ business context ...

DescriptionPortfolio Projects & Model ChangeSupport catastrophe model validation, change, and implementation activities, including documenting methodologies, assumptions, testing approaches, and outcomes.Partner with the Portfolio Analytics team to deliver model change impact analysis and translate findings into clear stakeholder insights.Communicate model changes and developments to underwriters, providing regular … modelling operations, reporting, and governance.Document transitional processes, identify gaps and risks, and coordinate remediation activities with modelling, underwriting, risk, regional, and development teams.Current PrioritiesMarine model validation testing.OASIS model rollout and implementation support.BOLT enhancement requirements, testing, and stakeholder coordination.Merger integration across legacy Aspen and legacy Sompo catastrophe modelling ...

mathematical modelling skills with practical implementation ability and a clear understanding of how models are used in production trading environments.You should be comfortable balancing model sophistication with robustness, explainability, and performance. You will be proactive, collaborative, and able to work effectively with traders, structurers, developers, risk managers, and model validation teams.You will play a key role in designing, building, and maintaining models and analytics for inflation derivatives trading.The difference you’ll make:Designing, developing, and maintaining models and analytics for inflation derivatives, including inflation revenue swaps, year-on-year swaps, LPI swaps, caps/floors, and inflation ...

Join a team at the forefront of quantitative model review and governance within one of the world's leading financial institutions. This is an opportunity to apply your expertise in mathematical finance, statistics, data analysis, and programming to assess methodologies that influence valuation, risk management, and capital decisions. … modelling techniques. Your work will help ensure the firm's models are robust, well-governed, and fit for purpose.As an Analyst/Associate in Model Risk Governance and Review's Valuation Control Group team, you perform independent reviews of valuation, risk, valuation adjustment, and prudent valuation methodologies used across ...

Business Work with risk managers to provide quantitative supports and analytical tools to investigate and understand markets risks, liquidity risks, counterpart credit risks, etc Model review, documentation and validation remediation to ensure compliance with the Model Risk Governance Framework Review and interpret results of on-going model performance tests (e.g. back testing) Develop and implement new quantitative models and pricing functions Work and coordinate with model validators in model validation/re-validation review process Prepare analyses for regulatory submissions of model changes and introduction of new modelsQuant Analysts must have ...

business problems through advanced analytics and AI, guide how solutions are designed and built, and continue to contribute directly to technical work such as model development, experimentation, code review and solution architecture.You will lead the design and development of the team’s AI and ML solutions, choosing the right … statistical significance, and the monitoring needed to detect drift in production.Leading the team’s responsible AI work, including bias and fairness testing, explainability, and validation of model and agent behavior against regulatory expectations.Solving the team’s most challenging problems, such as extracting information from unstructured documents, automating expert ...

With Product, Commercial, and Clinical, choose what to build next, weighing clinical value, data, regulatory burden, and commercial pull. With QARA and Clinical, lead validation to prove each model meets its intended use, then work with engineering to get it production-ready. Monitor and maintain - Own model … demonstrable experience building clinical AI within a regulated medical device context. Your playground is pre-/silent/post- deployments, you obsess about continuous validation and you know it’s not about AUROC on a test set and you deeply understand the interplay of intended use with model ...

control frameworks. You will own the global methodology, thresholds, and data-scoring models used to identify and mitigate financial crime typologies, be accountable for model governance and liaison with Model Risk Management, and partner with Product Risk and CDO counterparts on technical control deployments as well … analytics within the compliance ecosystem, including machine learning models and graph databases, while establishing data governance standards to ensure input pipeline integrity.Establish a robust model validation framework to independently test and verify the conceptual soundness, mathematical logic, and regulatory compliance of all financial crime models.Represent Airwallex’s automated ...

have everything we need to work flexibly.The teamThe Quantitative Risk team sits within the independent Group Risk function and provides firmwide 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 the Group.What … research to review, challenge and validate models used across Schroders’ businesses and all asset classes, including support for new product development.Produce clear, high-quality model validation reports and contribute to the ongoing enhancement of the firm’s model governance framework (policies, standards, controls and documentation).Present validation ...

.* 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**. ...

infrastructure 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 ImpactProvision and manage cloud-native AI/ML infrastructure utilising Kubernetes … core 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 deployment.Deploy ...