26 to 50 of 260 Model Validation Jobs in the UK

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 ...

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 ...

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 ...

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 ...

solutions aligned to Army training objectives and enterprise architecture principles. Support the development and maintenance of ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation. Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints. Monitor deployed … candidate will support the development and integration of AI/ML models aligned with Army training goals and OMNIA architecture, assisting with data preparation, model evaluation, and workflow automation. They will collaborate with technical teams, document processes, monitor model performance, and contribute to ethical AI practices. The role ...

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 ...

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 … event-driven automation flows that respond to customer behaviour in real timeDesign integrations with marketing, commerce and service platforms to close the loop between model scores and actionsEnsure automation is scalable, auditable, and aligned with consent and data governance requirementsDelivery & LeadershipLead technical workstreams end-to-end — from design through ...

worldwide, considering regional regulatory nuances and cultural sensitivities. Integrate AI security requirements into security and enterprise architecture, software development life cycles, and model life-cycle management, ensuring consistency and agility across diverse operational regions. Will be part of Security Strategy development and does require interaction with executive business leaders … development, training, and deployment pipelines Define AI & security data governance and access control frameworks for systems Create security-by-design principles for AI model development Design threat models specific to AI/ML systems and attack surfaces Technical Security Standards: Develop and maintain security frameworks and best practices Create ...

models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend … Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack ...

deployed analytics architectures. Advanced modelling techniques – including integrating previous pre-trained models with simulations or other advanced modelling. Awareness of different solutions for model management that includes model building and deployment. Determines and executes model validation, reproducibility, and deployment criteria. Ability to get results fast - leveraging ...

science, setting best practices and standards across the organization Mentor and guide junior and senior data scientists, fostering a high-performance, collaborative team environment Model Development & Deployment Develop and deploy machine learning models for use cases such as: Fraud detection Credit risk modeling Customer segmentation and personalization Forecasting … adoption Data Strategy & Governance Support the development of data strategy frameworks, ensuring alignment with regulatory and compliance requirements Promote best practices in data governance, model validation, and ethical AI usage Qualifications Required Background: MSc or Higher in Artificial Intelligence, Computer Science, Data Science, or a closely related discipline ...

delivered to a high standard using modern software engineering and MLOps practices. This role is ideal for someone who enjoys balancing hands-on model development with technical leadership, project delivery and helping others grow.You'll also embrace approved AI-enabled ways of working to enhance productivity, accelerate insight generation … improve delivery quality, while applying sound human judgement, responsible AI principles and appropriate governance throughout the model lifecycle.What You'll DoUtilise Python for advanced data analysis, exploration, feature engineering and data processing to uncover insights, trends and patterns, leveraging approved AI tools where appropriate to accelerate analysis and improve ...

capability, including data modelling, DAX, dashboard design, report optimisation, and clear visual storytelling. Advanced Excel skills, including Power Query, complex formulas, structured modelling, data validation, and scenario analysis. Experience building data pipelines, automated data flows, APIs, cloud‐based solutions, or AWS‐enabled automation would be highly beneficial. Experience deploying ...

Assurance/Validation Practice Leader AI Assurance/AI Validation Financial Services To 175k 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 ...

decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think … them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang for most other microservicesAI toolings ...

decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think … them):Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousingPyData stack for model development and offline deploymentGoogle Vertex AI platform for cloud computingAWS for backend infrastructure Python for ML model microservicesGo lang for most other microservicesAI toolings ...

through code reviews, technical design, and pairing with peers and junior engineersEstablishes and operates Responsible AI controls in production (guardrails, evaluation frameworks, observability, and model risk controls) to firm-wide standardsActs as a primary technical partner to IPB business stakeholders, surfacing new AI/ML opportunities and shaping them … services technology, particularly wealth, private banking, or asset managementExperience with Databricks, Kubernetes, or comparable ML/cloud platformsExperience designing or contributing to AI governance, model validation, or guardrail frameworksFamiliarity with JPM-internal AI/ML infrastructure and governance for internal candidatesJ.P. Morgan is a global leader in financial ...

will be responsible for:Owning the end to end development, execution and maintenance of IFRS 9 models.Working closely with stakeholders to ensure that model developments meet business requirements.Producing detailed model documentation, including methodology, assumptions, and limitations.Monitoring model performance and conducting regular reviews to ensure accuracy and stability.Collaborating … with model validation teams to address any findings and ensure models are robust.RequirementsIdeally a minimum 5-10 years’ experience in developing impairment models.Strong experience in team leadership roles. Proficient in the use of analytical tools, specifically Python. Graduate level education preferable, ideally in a numerical degree ...

enhance tools used by the desk for valuation and riskWork closely with traders and sales to provide quantitative insights and support new businessPartner with model risk and controllers on model validation and documentationContribute to exposure simulation and portfolio-level analyticsSkills that will help you in the role ...

with C++ or C# or Java programming, as it involves development of interfaces to the core C++ analytical library where the models are implemented. Model validation, including testing the model at its fundamental level and pricing real-world trades to ensure that the model produces ...