26 to 50 of 663 Model Validation Jobs in the UK

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical … a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion for solving complex problems using data and a continuous learning mindset Excellent communication and collaboration skills Full right More ❯

with generative AI, machine learning, or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development teams Following experimentation and model selection and validation, implement the solution using production-ready Python code Contribute to the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance of … machine learning solutions Monitor model performance post-deployment and iterate based on feedback Communicate with, and present results to, colleagues and stakeholders Present information using data visualization techniques Qualifications/Requirements: A master’s degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required More ❯

shelf solutions are often not fit-for-purpose. The ideal candidate has to have the ability to customise source code, add in new features and code from scratch. Whilst model deployment/software development experience is highly desirable, we do have a team of engineers to support so exposure in this space will be sufficient. Culture-wise, we’re … optimize the ACO algorithm(s) and related Data Science components for the product Design and contribute to the end-to-end machine learning pipeline from data collection, reprocessing to model training, simulation, evaluation, deployment and experimentation/testing Implement and interpret explainability frameworks to provide clear insights into model decisions, ensuring transparency and compliance with WPP standards Collaborate … with stakeholders to identify business needs and translate these requirements into technical solutions that are scalable and impactful Conduct rigorous model testing and validation to ensure robustness and accuracy Prepare detailed documentation and reports that communicate complex model behaviours, predictions, and insights in a manner accessible to both technical and non-technical audiences Stay abreast of academic More ❯

with generative AI, machine learning, or other algorithmic solutions Process structured and unstructured data for generative AI use cases Collaborate with engineering and product development teams Following experimentation and model selection and validation, implement the solution using production-ready Python code Contribute to the full software development lifecycle, including requirements gathering, design, development, testing, deployment, and maintenance of … machine learning solutions Monitor model performance post-deployment and iterate based on feedback Communicate with, and present results to, colleagues and stakeholders Present information using data visualization techniques Qualifications/Requirements A master’s degree (or equivalent) in a numerate discipline such as Statistics, Machine Learning, Computer Science, Engineering, or Physics. A doctorate is a plus but not required More ❯

or applying cutting-edge research to real-world challenges. This is a hands-on role where you'll contribute across the entire ML life cycle, from data preprocessing and model training to production deployment and performance tuning. If you're excited about solving complex problems with AI and thrive in a fast-paced, collaborative environment, we'd love to … hear from you. Responsibilities: Model Development: Design, develop, and deploy AI and machine learning models to solve business challenges. Data Analysis: Work with large datasets to extract insights and train machine learning models. Algorithm Implementation: Implement and optimize algorithms for AI applications, ensuring efficiency and scalability. Research: Stay up-to-date with the latest advancements in AI and machine … learning, and apply these to ongoing projects. Collaboration: Collaborate with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. Testing and Validation: Test and validate AI models to ensure accuracy, robustness, and reliability. Deployment: Manage the deployment of AI models in production environments, monitoring performance and making necessary adjustments. Documentation: Document AI models More ❯

learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation. Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications Master's degree in Computer Science, Artificial Intelligence More ❯

learning, and data science, particularly in the LLM field, and share knowledge with the team. Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation. Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications Master's degree in Computer Science, Artificial Intelligence More ❯

organizations, and other enabling functions. To be successful, the ideal candidate will demonstrate a thirst for knowledge and a natural curiosity to enable rapid learning of the Zoetis business model and data & analytics infrastructure at a scale to support a growing business. The position requires a candidate who is comfortable translating and connecting the business context to the technical … and trends within datasets. Translate insights to actionable recommendations aligned with business objectives. Design business intelligence and analytics tools to track business performance across marketing, sales, and retail organizations. Model Development and Optimization Build advanced analytics to extract key strategic insights (product, customer, etc..) to inform key strategic decisions. Build, test and validate predictive models to support business needs. … Implement and maintain machine learning models in production environment. Monitor model performance and refine algorithms to ensure accuracy and relevance. Partner with Data Governance to implement data governance framework to improve data quality, better decision-making and increased operational efficiency. Stakeholder Engagement Collaborate with senior leaders to identify opportunities for business growth and assist in implementing data-driven strategies More ❯

Join us as a Model Risk Validation Manager In this key role, you’ll undertake the validation of derivative pricing models and ensure that models are managed within the requirements of the bank’s model risk policy and risk appetite You’ll ensure model limitations are identified, communicated to stakeholders and effectively mitigated We’ll … look to you to help develop, maintain and implement proportionate mandatory procedures for model validation activity You’ll gain great exposure for you and your work, with the opportunity to develop key relationships with colleagues across Risk and NatWest Markets What you'll do As a Model Risk Validation Manager your main role will be the … validation and review of models used within NatWest Markets to help ensure the bank’s models are managed within policy and appetite. By conducting thorough quantitative analysis, you’ll assess their performance and robustness. You’ll prepare comprehensive validation reports and documentation, supporting the delivery of bank wide policy and mandatory procedures for the governance and control of More ❯

Join us as a Model Risk Validation Officer In this key role, you’ll undertake the validation of market risk models used for capital calculations and risk management, ensuring that models are managed within the requirements of the bank’s model risk policy and risk appetite You’ll ensure model limitations are identified, communicated to … stakeholders and effectively mitigated We’ll look to you to help develop, maintain and implement proportionate mandatory procedures for model validation activity You’ll gain great exposure for you and your work, with the opportunity to develop key relationships with colleagues across Risk and NatWest Markets What you'll do As a Model Risk Validation Officer … your main role will be the validation and review of models used within NatWest Markets to help ensure the bank’s models are managed within policy and appetite. By conducting thorough quantitative analysis, you’ll assess their performance and robustness. You’ll prepare comprehensive validation reports and documentation, supporting the delivery of bank wide policy and mandatory procedures More ❯

Job Description Job Purpose ICE Clear Europe is seeking a Quantitative Risk Manager to join its Model Risk Management team. This role is responsible for validating and monitoring risk models used in the clearing house, ensuring their accuracy, robustness, and compliance with regulatory standards. The position involves end-to-end model risk assessment across initial margin, add-ons … and stress testing frameworks, with a focus on market, credit, and liquidity risk. This is an exciting opportunity for a technical expert looking for broader model and management exposure in a collaborative and flat organizational structure. Responsibilities Conduct independent validation of risk and pricing models and review of stress testing frameworks, including conceptual soundness, assumption reasonableness, and performance … benchmarking. Continuously monitor model performance and review first-line risk management monitoring approaches. Document validation findings, communicate risks, and recommend improvements. Provide guidance on model usage and act as a key stakeholder liaison for new models and changes. Stay updated on evolving market practices, regulatory requirements, and quantitative methodologies. Mentor and support junior team members. Knowledge and More ❯

the first 25 applicants Get AI-powered advice on this job and more exclusive features. Job Purpose ICE Clear Europe is seeking a Quantitative Risk Manager to join its Model Risk Management team. This role is responsible for validating and monitoring risk models used in the clearing house, ensuring their accuracy, robustness, and compliance with regulatory standards. The position … involves end-to-end model risk assessment across initial margin, add-ons, and stress testing frameworks, with a focus on market, credit, and liquidity risk. This is an exciting opportunity for a technical expert looking for broader model and management exposure in a collaborative and flat organizational structure. Job Purpose ICE Clear Europe is seeking a Quantitative Risk … Manager to join its Model Risk Management team. This role is responsible for validating and monitoring risk models used in the clearing house, ensuring their accuracy, robustness, and compliance with regulatory standards. The position involves end-to-end model risk assessment across initial margin, add-ons, and stress testing frameworks, with a focus on market, credit, and liquidity More ❯

security, and improved quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are seeking a highly skilled and results-driven Data Scientist - Validation to join our team, primarily focusing on validating AI/ML models for grid innovation applications. This role will involve rigorous testing, validation, and verification of AI/… environments. Job Description Essential Responsibilities: Design and conduct experiments to test and validate AI/ML models in the context of energy systems and grid automation applications. Establish clear validation frameworks to ensure models meet required performance standards and business objectives. Establish test procedures to validate models with real and simulated grid data. Analyze model performance against real … world data to ensure accuracy, reliability, and scalability. Identify and address discrepancies between expected and actual model behavior, providing actionable insights to improve model performance. Implement automated testing strategies and pipeline to streamline model validation processes. Collaborate with Data Engineers and ML Engineers to improve data quality, enhance model performance, and ensure efficient deployment of More ❯

risk functions. Deliver scalable and efficient analytics infrastructure using C++ and Python , aligned with front-office requirements. Work closely with trading, structuring, and risk teams to provide high-performance model-driven tools and analytics. Contribute to the ongoing enhancement and modernization of the quantitative library and risk analytics platform. Ensure full documentation of models in accordance with internal governance … and regulatory expectations. Engage with model validation and risk control teams throughout the model approval and lifecycle management process. Provide analytical support and ensure robustness of models in production environments. Required Qualifications & Experience: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Demonstrated experience in a front-office … quantitative analytics or quant development role within a financial institution. Strong understanding of derivative pricing theory and volatility modelling techniques. Proficiency in C++ and Python for model development and numerical computation. Familiarity with structured software development practices, including version control, testing, and continuous integration. Excellent problem-solving skills, a high level of attention to detail, and strong written and More ❯

risk functions. Deliver scalable and efficient analytics infrastructure using C++ and Python , aligned with front-office requirements. Work closely with trading, structuring, and risk teams to provide high-performance model-driven tools and analytics. Contribute to the ongoing enhancement and modernization of the quantitative library and risk analytics platform. Ensure full documentation of models in accordance with internal governance … and regulatory expectations. Engage with model validation and risk control teams throughout the model approval and lifecycle management process. Provide analytical support and ensure robustness of models in production environments. Required Qualifications & Experience: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Demonstrated experience in a front-office … quantitative analytics or quant development role within a financial institution. Strong understanding of derivative pricing theory and volatility modelling techniques. Proficiency in C++ and Python for model development and numerical computation. Familiarity with structured software development practices, including version control, testing, and continuous integration. Excellent problem-solving skills, a high level of attention to detail, and strong written and More ❯

risk functions. Deliver scalable and efficient analytics infrastructure using C++ and Python , aligned with front-office requirements. Work closely with trading, structuring, and risk teams to provide high-performance model-driven tools and analytics. Contribute to the ongoing enhancement and modernization of the quantitative library and risk analytics platform. Ensure full documentation of models in accordance with internal governance … and regulatory expectations. Engage with model validation and risk control teams throughout the model approval and lifecycle management process. Provide analytical support and ensure robustness of models in production environments. Required Qualifications & Experience: Advanced degree (MSc/PhD) in a quantitative discipline such as Mathematics, Physics, Financial Engineering, or Computer Science. Demonstrated experience in a front-office … quantitative analytics or quant development role within a financial institution. Strong understanding of derivative pricing theory and volatility modelling techniques. Proficiency in C++ and Python for model development and numerical computation. Familiarity with structured software development practices, including version control, testing, and continuous integration. Excellent problem-solving skills, a high level of attention to detail, and strong written and More ❯

role in delivering outstanding work for our clients. You will work closely with senior colleagues to support the efficient delivery of projects, including data collection and preparation, contributing to model finalization, writing results, and supporting the development of other analysts. You will also be expected to develop strong relationships with clients and communicate Gain Theory's approaches and beliefs. … long-term effect of my marketing and why?”, “Dealing with uncertainty and building in foresight”, etc. Key responsibilities include: Working with data: Data extraction and manipulation, data analysis and validation, batch files, programming Undertake data extraction, manipulation, and data analysis to understand the marketplace and client context relevant to each project. Analyse all datasets to ensure that each KPI … Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/approaches. Building Models: Model building and validation, sales effects calculations, ROIs, media optimisation Building of base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables entered More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

drive strategic marketing decisions—optimizing media budgets, forecasting business performance, and supporting commercial objectives through rigorous analytical frameworks. Key Responsibilities Lead the full econometric modelling lifecycle: data extraction, transformation, model building, validation, and business interpretation. Build and refine Marketing Mix Models (MMM) with robust statistical foundations and clear KPI linkages. Generate actionable outputs such as ROI analyses, response … curves, and optimization tools. Perform scenario simulations for budget allocation, marketing strategy, and planning. Conduct model diagnostics, ensure methodological robustness, and continuously improve model accuracy. Required Skills & Experience Demonstrable experience in Marketing Mix Modelling (MMM) and econometrics, ideally within FMCG or related sectors. Strong command of Python and pandas; working knowledge of R is also a plus. Proficient More ❯

analysis to assess and predict financial risks including input into regulatory processes/reporting. Provide regular reports and insights to senior leadership, highlighting emerging risks and their potential impact. Model Risk Management - Formulation of guidelines/policy, laying down of roadmap, establishment of model risk governance including frameworks, validation, inventory management, attestations and optimization. Program/Delivery … GAAP) and regulatory requirements (e.g., Basel III, IFRS 9). Statistical Techniques: Linear & Logistic Regression, Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Ability to More ❯