1 to 25 of 128 Model Validation Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

and its application to risk management in banking You will have strong Wholesale IRB background (essential) with hands-on experience in IRB credit risk model development, and a strong understanding of IRB approval process and existing regulations are a must, along with familiarity with both local and relevant international … regulations within financial services e.g. PRA/ECB supervision Possess hands-on experience in Wholesale IRB credit risk model building and/or validation (i.e., beyond audit or review activities) - the interview process will involve a deep dive into the technical knowhow of modelling, validation techniques and … Spain, Middle East, Netherlands, South Africa, my client is a boutique firm with a demonstrable focus around Credit Risk Management, modelling, data analytics and model validation etc. Working with a range of innovative, ambitious, growing and forward-thinking Financial Services businesses, my client differentiates itself from the larger More ❯

ground breaking solutions and leading projects that deliver measurable business impact. Collaborates closely with IT teams, business partners, and scientific authorities to ensure flawless model deployment and alignment with functional priorities. Key Responsibilities Optimally deploy AI/ML models into scalable, production-grade environments while ensuring their reliability, adaptability … multi-functional teams, and collaborating effectively with business partners Demonstrated ability to build end-to-end data science solutions, including data ingestion, pipeline development, model training, deployment, and performance monitoring Experience in independently leading projects and project teams Healthcare or pharmaceutical experience is preferred Skills: Proficiency in Python and … SQL for data manipulation, analysis, and model development Deep experience with machine learning models and techniques (supervised, unsupervised, deep learning, LLMs, etc.) Hands-on expertise in deploying models using MLOps tools, pipelines and standard processes Experience in cloud environments, specifically GCP services such as BigQuery, AI Platform, and Dataflow More ❯

the solutions that the team delivers -Present findings and recommendations to technical and non-technical audiences. -Acquire domain knowledge to inform modelling opportunities and model feature creation Technical Leadership: -Mentor junior data scientists and provide peer reviews for modelling projects. -Stay current with industry trends, tools, and best practices More ❯

methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative … class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field More ❯

methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative … class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (eg, A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against … accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant More ❯

Join us as aModel Risk Validation Officer in Traded RiskModels This is anopportunity for a passionate and driven risk specialist to join ourbusiness We’ll look to you to help review andvalidate traded risk and pricing models supporting all businessunits and legal entities. It's an ideal role togain … detailed exposure to the developing world of model risk, aswell as to a range of stakeholders and seniorexecutives Whatyou'll do As a ModelRisk Validation Officer, you’ll be undertaking quantitative andqualitative analysis to make sure that the model risks areadequately highlighted. We’ll look to you … to review the models’ MIpacks to identify model performance or data related issues, andsupport your team members by maintaining issue logs and MI on thereview pipeline. You’ll alsobe: Assisting inrunning Pillar 3 reviews by verifying the analysis andunderstanding the code logic Supporting thedevelopment of analytical tools for validationtests More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

technical stakeholders. Write robust, production-ready Python code and partner with technology teams to operationalise models. Ensure models are compliant with internal governance and model risk frameworks. Provide ongoing model validation, documentation, and performance monitoring. Ideal Candidate Will Have: Strong background in ALM or Treasury modelling, particularly More ❯

strong analytical mindset and prefer working behind the scenes with data Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director) Creating clear and … presentations Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with model validation, diagnostics, and performance metrics Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply! Alternatively, you can refer a friend or colleague More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to More ❯

are reliable, efficient, and scalable. Responsibilities: Develop browser extensions and desktop apps (Windows and MacOS). Create web apps for AI agent audits and model performance validation. Design and implement robust pipelines for AI models - for reliability and scalability. Write clean, maintainable, defensible, and scalable code with a high More ❯

Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to More ❯