1 to 25 of 219 Model Validation Jobs in the UK

everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. We are looking for a talented and passionate Model Validation Senior Analyst to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all … models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation/model build experience and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As … a Senior Analyst - Model Validation, with the support from your manager, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model More ❯

everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. We are looking for a talented and passionate Model Validation Senior Analyst to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all … models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation/model build experience and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As … a Senior Analyst - Model Validation, with the support from your manager, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model More ❯

Model Validation Quant Contract OUTSIDE IR35 Quant Capital is urgently looking for a Model Validation Quant 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 … 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 and depth You’ll work closely with FO quants, guide their submissions, and act as a bridge to model validation — pre-empting issues before they escalate. Responsibilities: • Review and guide FO quant model submissions with a critical eye • Develop, test, and refine models using More ❯

Model Validation Quant Contract OUTSIDE IR35 Quant Capital is urgently looking for a Model Validation Quant 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 … 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 and depth You’ll work closely with FO quants, guide their submissions, and act as a bridge to model validation — pre-empting issues before they escalate. Responsibilities: • Review and guide FO quant model submissions with a critical eye • Develop, test, and refine models using More ❯

My client is a leading wealth manager and retail bank with a growing UK focussed business. The Model Risk Management (MRM) team are responsible for the design and maintenance of the Bank's Model Risk Management policy and framework, ensuring comprehensive model governance and carrying out model … models. The team is based in in London and work on a hybrid basis with 3 days in the office. Key Responsibilities Perform independent validation of models of a wide range of models in the group inventory, including stochastic models (IRB and non-IRB) and non-models (also known … as deterministic quantitative methods/DQM's), engaging with Analytics teams and Senior Management in the timely completion of model validations and reporting of identified findings and weaknesses of models. Support and shape the Model Risk Management Framework, including model identification process, attestation, validation, and monitoring. More ❯

reporting directly into the AVP for CAT Risk and Capital. You will lead in the areas of complex pricing support, portfolio analysis and optimisation, model validation, VoR and other related areas. You will have deep understanding of CAT models and hands on experience of validating and implementing new … skills, including proficiency in the Microsoft Suite, SQL, geospatial tools, and statistical packages used for data retrieval and analysis. With hands-on experience in model validation, you also offer strong leadership capabilities, having successfully managed change, developed teams, and aligned resources to achieve strategic goals. Your exceptional organisational … You Do? Provide complex pricing support to optimize risk assessment and pricing strategies. Conduct portfolio risk reward analysis to influence CAT underwriting strategy. Lead model validation efforts and play a leading role in CAT View of Risk (VOR) discussions. Perform scenario testing and sensitivity analysis to refine catastrophe More ❯

We are searching for a Model Risk Associate within Firm Risk Management's Model Risk Management Department, which is dedicated to providing independent model risk control, review, and validation of models used by Morgan Stanley. These include derivative pricing models utilized across product areas, including interest … and grow. A philosophy that balances personal lifestyles, perspectives, and needs is an important part of our culture. What will you be doing? Conduct model validation for interest rate/FX/Hybrid pricing models by challenging model assumptions, mathematical formulation, and implementation. Conduct independent testing to … assess model accuracy and robustness under different scenarios and market conditions. Assess and quantify model risks due to model limitations and develop compensating controls. Develop high-quality validation reports highlighting risks and limitations of models and communicate findings to stakeholders and senior management. Collaborate with Global More ❯

assessment in our stress tests. What you'll do Design models and approaches to their deployment, enhance reporting and provide intelligent insight into what model outputs mean. Ensure all models deployed are validated and overlays processed in compliance with Citi's model risk policies. Manage model risk … across the model life-cycle including model validation, point-of-use analysis, ongoing performance evaluation and annual model reviews. Innovate and develop new analytics, automation, intelligent insight and reporting used to manage capital and liquidity risk for Citi's branches and subsidiaries - all with a view … Use data science and real-world risk experience to deliver intelligent insight in a controlled environment. Work to triage and translate local requirements into model development, tracking change through the end-to-end lifecycle and deployment of new capabilities. Communicate results and insight to diverse audiences across geographies, business More ❯

processes Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with other science and engineering teams to drive real-time model implementations Work closely with Ops/Product partners to identify problems and propose machine learning solutions Establish scalable, efficient, automated processes for large scale … data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques More ❯

business analytics and data science explorations to inform key business decisions and algorithm roadmap. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. Hire and develop top talent in machine learning and data science and accelerate the pace … a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building. Strongly motivated by entrepreneurial projects and experienced in collaboratively working with a diverse team of engineers, analysts, and business management in achieving superior More ❯

for business problems - Design, develop, evaluate and deploy, innovative and highly scalable ML models - Work closely with software engineering teams to drive real-time model implementations - Establish scalable, efficient, automated processes for large scale model development, model validation and model maintenance - Leading projects and mentoring More ❯

models. Making key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia. Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of the materiality of any model limitations (e.g. RNIV). Documenting model implementation details, tests, and findings for model validation to review, in accordance with Firm’s Model Risk Management policies and framework. Qualifications: Strong background in market risk models and … results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well-structured technical model documentation). Ability to work without significant direct supervision. Previous experience of regulatory capital model & economic capital model is preferred. Knowledge of More ❯

models. Making key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia. Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of the materiality of any model limitations (e.g. RNIV). Documenting model implementation details, tests, and findings for model validation to review, in accordance with Firm’s Model Risk Management policies and framework. Qualifications: Strong background in market risk models and … results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well-structured technical model documentation). Ability to work without significant direct supervision. Previous experience of regulatory capital model & economic capital model is preferred. Knowledge of More ❯

optimize key processes Design, develop, evaluate and deploy innovative and highly scalable ML models Work closely with software engineering teams to drive real-time model implementations Work closely with business partners to identify problems and propose machine learning solutions Establish scalable, efficient, automated processes for large scale data analyses … model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Leading projects and mentoring other scientists and engineers in the use of ML techniques BASIC More ❯

Recommendation and Optimization Systems. - Develop offline policy estimation tools and integrate with reporting systems. - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Analyze and extract relevant information from large amounts of Amazon's historical business data to … tier peer-reviewed conferences or journals - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. More ❯

Join us as aModel RiskManager In this keyrole, you’ll undertake the validation of derivative pricing modelsand ensure that models are managed within the requirements of thebank’s model risk policy and riskappetite You’ll ensure … model limitations areidentified, communicated to stakeholders and effectivelymitigated We’ll look to you to help develop,maintain and implement proportionate mandatory procedures for modelvalidation activity You’ll gain great exposurefor you and your work, with the opportunity to develop keyrelationships with colleagues across Risk and NatWestMarkets Whatyou'lldo As … aModel Risk Manager your main role will be the validation and reviewof models used within NatWest Markets to help ensure the bank’smodels are managed within policy and appetite. By conductingthorough quantitative analysis, you’ll assess their performance androbustness. You’ll preparecomprehensive validation reports and documentation, supporting thedelivery More ❯

Join us as aModel RiskManager In this keyrole, you’ll undertake the validation of derivative pricing modelsand ensure that models are managed within the requirements of thebank’s model risk policy and riskappetite You’ll ensure … model limitations areidentified, communicated to stakeholders and effectivelymitigated We’ll look to you to help develop,maintain and implement proportionate mandatory procedures for modelvalidation activity You’ll gain great exposurefor you and your work, with the opportunity to develop keyrelationships with colleagues across Risk and NatWestMarkets Whatyou'lldo As … aModel Risk Manager your main role will be the validation and reviewof models used within NatWest Markets to help ensure the bank’smodels are managed within policy and appetite. By conductingthorough quantitative analysis, you’ll assess their performance androbustness. You’ll preparecomprehensive validation reports and documentation, supporting thedelivery More ❯

Join us as aModel RiskManager In this keyrole, you’ll undertake the validation of derivative pricing modelsand ensure that models are managed within the requirements of thebank’s model risk policy and riskappetite You’ll ensure … model limitations areidentified, communicated to stakeholders and effectivelymitigated We’ll look to you to help develop,maintain and implement proportionate mandatory procedures for modelvalidation activity You’ll gain great exposurefor you and your work, with the opportunity to develop keyrelationships with colleagues across Risk and NatWestMarkets Whatyou'lldo As … aModel Risk Manager your main role will be the validation and reviewof models used within NatWest Markets to help ensure the bank’smodels are managed within policy and appetite. By conductingthorough quantitative analysis, you’ll assess their performance androbustness. You’ll preparecomprehensive validation reports and documentation, supporting thedelivery More ❯

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

or videos, providing visual inspiration, and more. We do this by pushing the SoTA in Natural Language Processing (NLP), Generative AI, Multimodal Large Language Model (MLLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation (RAG), Computer Vision, Responsible AI, LLM Agents, Evaluation, and Model Adaptation. Key … to develop insights into how to best help customers throughout their shopping journeys. Use deep learning, ML and MLLM techniques to create scalable language model centric solutions for building shopping assistant systems based on a rich set of structured and unstructured contextual signals. Innovate new methods for understanding, extracting … optimize and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports More ❯

role involves working on valuation models for various financial products, ensuring compliance with new UK regulations that mandate good governance around models. Key Responsibilities Model Development and Validation: Develop and validate models for pricing swaptions, Bermudan options, Constant Maturity Swaps (CMS), equity exotics (equity barrier options), inflation vanilla … swaps, and Credit Valuation Adjustment (CVA). Perform initial model testing and convergence testing to prove model performance. Continuously monitor model performance and set up automated testing processes. Documentation: Write comprehensive model documentation as part of the validation process. Ensure all documentation meets regulatory standards … and internal guidelines. Collaboration: Work closely with model developers and model owners to identify and close gaps in existing models. Engage with stakeholders to understand their requirements and provide solutions. Requirements Quantitative Skills: Strong background in quantitative finance, with experience in valuation models for non-linear payoffs. Expertise More ❯

of forecasting models, including time series and machine learning, implementing “what-if” scenarios for capacity planning and demand variability. Core areas of responsibility; Forecasting model development Data management Model selection and validation Model deployment and maintenance Data Scientist Candidate Requirements: Post study experience as Data Scientist More ❯