1 to 25 of 93 Permanent Model Validation Jobs in England

Business Unit: Group Risk, Independent Model Validation Salary Range: £39,200 - circa £49,000 per annum DOE?+ benefits Location : UK Remote - work from anywhere within the UK. Contract Type: Permanent and 12 month fixed term contract opportunities available Our Team Ensuring we have robust Model Risk Management frameworks in place is essential for us to manage … drive innovation in the modelling space that have to be managed appropriately. This is where our team comes in! We provide and evidence oversight in the form of independent model validations and reviews, where we work with stakeholders across the bank to ensure robust model development activities. We also make sure we adhere to frameworks and policies by … across the business are fit for purpose. Provide assurance on compliance with the regulatory requirements we work within. Utilise your technical skills in data manipulation and extraction and analyse model performance and model risk. Engage with model owners, gathering materials for analysis, challenging model performance or development and documenting findings. Generate model validation reports More ❯

Job Title: Pricing Model Validation Analyst Location: London Department: Model Validation/Quantitative Analytics Reporting to: Head of Model Validation Overview: An international investment bank is seeking a Pricing Model Validation professional to join its London-based Model Validation team. This role focuses on the independent review and validation … of pricing and risk models used across the firm’s trading and risk platforms. The function sits independently from Risk and works closely with Front Office Quants, IT, and Model Developers. Key Responsibilities: Perform independent validation of pricing models cross asset classes, with a focus on derivatives. Assess the conceptual soundness, implementation correctness, and ongoing performance of pricing … and valuation models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. Liaise with model developers and Front Office quants to understand model design and propose improvements where necessary. Contribute to validation More ❯

Job Title: Pricing Model Validation Analyst Location: London Department: Model Validation/Quantitative Analytics Reporting to: Head of Model Validation Overview: An international investment bank is seeking a Pricing Model Validation professional to join its London-based Model Validation team. This role focuses on the independent review and validation … of pricing and risk models used across the firm’s trading and risk platforms. The function sits independently from Risk and works closely with Front Office Quants, IT, and Model Developers. Key Responsibilities: Perform independent validation of pricing models cross asset classes, with a focus on derivatives. Assess the conceptual soundness, implementation correctness, and ongoing performance of pricing … and valuation models. Rebuild models in Python or other quantitative libraries to benchmark performance and accuracy. Review model documentation, assumptions, numerical methods, calibration techniques, and risk sensitivities. Conduct quantitative testing including backtesting, stress testing, and scenario analysis. Liaise with model developers and Front Office quants to understand model design and propose improvements where necessary. Contribute to validation More ❯

Credit Risk Model Validation Manager Up to £80,000 Hybrid London The Company I am hiring a Model Validation Manager for a top fintech based in London who have multiple portfolios across both unsecured lending and secured lending. You will be working with experts across the industry to validate risk models across the business using AI … and Machine learning modelling. The Role As a Model Validation Manager , you will be: Validating Credit Risk models like IFRS9 (PD, EAD, and LGD) Using analytics skills to improve credit risk models and model review practices Validating wider risk models covering AI, machine learning, reporting, and operational risk models Working with senior leadership to present findings of … validation exercises. Using tools like SAS, SQL, R and Python daily. Your skills and experience To be successful as a Model Validation Manager , you will need: Strong experience with SQL and python Strong experience with validating credit risk models. Experience working in financial services Excellent communication skills Strong stakeholder management A numeric degree from a top university More ❯

modelling and analytics team within the CAT Risk function, reporting directly to the AVP for CAT Risk and Capital. Your role includes complex pricing support, portfolio analysis and optimisation, model validation, VoR, and other related areas. You should have a deep understanding of CAT models, hands-on experience validating and implementing new perils and regions. You will manage … Professional (CCRMP), or a CAT modelling designation from vendors like Verisk's CEEM. Technical skills required include proficiency in Microsoft Suite, SQL, geospatial tools, and statistical packages. Experience in model validation, leadership, change management, team development, and strategic alignment is essential. Strong organizational and communication skills are also required. Travelers Europe offers flexible hybrid work arrangements, allowing employees … to policy changes. What Will 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 participate in CAT View of Risk (VoR) discussions. Perform scenario testing and sensitivity analysis to refine catastrophe risk appetites and metrics. Maintain expertise in Data More ❯

About the Role: Grade Level (for internal use): 11 The Role Associate, Review & Validation Grade (relevant for internal applicants only) 11 Location Primary: London/New York Secondary: Chicago. Team The Review & Validation team has global responsibility for the review and validation of all S&P Global Ratings' methodologies, including models and criteria. S&P Global Ratings … the framework for all of our published credit ratings and analyses and, as such, represent our most significant intellectual property. The team comprises both credit analysts as well as model specialists with experience in Ratings and the Capital Markets more broadly. Impact Work in a dynamic environment in a team that has global, cross-sector responsibilities. Opportunity to work … in a collegial culture with good potential for professional development and career growth gaining exposure to varied asset classes and sectors. Team members typically specialize in either model validation or criteria validation/credit review but will have the opportunity to develop skills and experience across both disciplines. Personal initiative, independence, strong time management skills, and an More ❯

lending decisions and risk management strategies. Key Responsibilities: Develop, implement, and maintain credit risk scorecards, applying advanced statistical and machine learning techniques. Utilize Python for data extraction, feature engineering, model development, validation, and ongoing monitoring. Collaborate with risk management, analytics, and IT teams to ensure model robustness, compliance with regulatory standards, and effective integration into production systems. … Ensure adherence to best practices in model governance, validation, and documentation. Communicate technical findings and model insights clearly and effectively to both technical and non-technical stakeholders. Candidate Profile: Demonstrable experience in credit risk modelling or scorecard development, preferably within the lending or financial services sectors. Advanced skills in Python programming, with experience handling large datasets and … applying statistical modelling techniques. Comprehensive understanding of credit risk concepts, scorecard methodology, and relevant regulatory frameworks. Experience in model validation, performance monitoring, and governance processes. Strong communication skills, with the ability to present complex analytical outcomes clearly and succinctly. Why Join? This position offers the opportunity to work within a progressive lending organisation that values data-driven decision More ❯

lending decisions and risk management strategies. Key Responsibilities: Develop, implement, and maintain credit risk scorecards, applying advanced statistical and machine learning techniques. Utilize Python for data extraction, feature engineering, model development, validation, and ongoing monitoring. Collaborate with risk management, analytics, and IT teams to ensure model robustness, compliance with regulatory standards, and effective integration into production systems. … Ensure adherence to best practices in model governance, validation, and documentation. Communicate technical findings and model insights clearly and effectively to both technical and non-technical stakeholders. Candidate Profile: Demonstrable experience in credit risk modelling or scorecard development, preferably within the lending or financial services sectors. Advanced skills in Python programming, with experience handling large datasets and … applying statistical modelling techniques. Comprehensive understanding of credit risk concepts, scorecard methodology, and relevant regulatory frameworks. Experience in model validation, performance monitoring, and governance processes. Strong communication skills, with the ability to present complex analytical outcomes clearly and succinctly. Why Join? This position offers the opportunity to work within a progressive lending organisation that values data-driven decision More ❯

and manage Ki's exposure to risk, effectively communicating this to the Board in alignment with our Risk Management Framework. You will also contribute to the delivery of internal model validation, ORSA, and other relevant requirements under Solvency II. You will develop and implement a comprehensive enterprise-wide ERM framework, calculate risk metrics, and assist in reporting breaches … also include contributing to the Own Risk and Solvency Assessment (ORSA), encompassing risk appetite setting, business plan reviews, and stress and scenario testing. You will assist in the internal model validation process and the production of validation reports, including independent evaluations of components of the internal model. Close collaboration with the Actuarial division is essential, and candidates More ❯

time-series analysis, machine learning, and financial theory to develop accurate, commericalizable financial models. Collaborate closely with engineering, data science, product management, and commercial teams to maintain and enhance model features, data pipelines, and analytical tools. Ensure model validation, back-testing, and continuous performance assessment, prioritizing scalability, reliability, and integrity. Provide thought leadership and strategic guidance on More ❯

Experience in one or more of: Autonomous decision-making and control systems Navigation , estimation , or tracking algorithms (e.g. Kalman filtering, SLAM) AI/ML , including real-time implementation and model validation Verification & validation of complex algorithms in mission-critical systems What’s on offer: Hybrid/flexible working and multiple career pathways (technical or managerial) Cross-disciplinary More ❯

that attribute spot metrics and project future requirement, produce quantitative analytics on historical metrics data. • Build quantitative tools to explain and perform scenario analyses on various liquidity metrics. • Write model documents and execute model validation process in accordance with firm policy for quantitative models. • Collaborate with non-engineers to explain model behavior. QUALIFICATIONS • Bachelor's degree … Python, C++ or Java. • Developing financial pricing models in any asset class. • Maintaining a production code base and daily production processes. • Preparing and submitting technical documents to support the validation of mathematical models. • Working with techniques of optimization, statistical analysis, including parameter estimation. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our More ❯

Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a Lead Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for Experian's new global product launch and early client success … client base. Lead client analytic consulting engagements with financial services clients, including pre-sales and demos, training, and client success activities to maximize client value. Leverage Gen AI and model development tools to create and maintain new model document templates to help clients meet Model Risk Management regulatory requirements. Stay informed about regulatory changes, technological advancements, and … model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally. Gather feedback from internal and external clients to guide new product development, feature prioritisation, and product evolution of tools More ❯

group’s cyber accumulation control framework for both affirmative and non-affirmative exposure. Building internal and external relationships to enhance existing processes and scenario usage. Supporting external third-party model validation work and understanding the vendor model ecosystem. Supporting the communication of Cyber View of Risk to key business stakeholders. Communicating model uncertainty (internal and external … model vendors), while still retaining credibility and confidence. Calculating PML figures for group company portfolios, as well as helping steer overall risk appetite for the group. Turning concepts and ideas into mathematical models for simulating losses against portfolio. Key Requirements Minimum of 3 years in a Cat Modelling/Exposure Management function. Expert is MS Excel. Skilled user of More ❯

strong engineering, and has opinions on building reliable, scalable systems. What you will be doing Drive the development of telematics features from mobile sensor data, including project design, modelling, validation, and deployment. Conduct deep dives into driving signals, develop hypotheses, and evaluate their predictive power for risk. Design technical solutions with clear trade-offs around performance, scalability, and maintainability. More ❯

Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and its applications; you'll demonstrate an understanding of data management and show a keen … Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and … skills Powering the business with the right tools What's involved: You'll contribute to the design and implementation of Machine Learning Engineering standards and frameworks. You'll support model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed More ❯

Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and its applications; you'll demonstrate an understanding of data management and show a keen … Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and … skills Powering the business with the right tools What's involved: You'll contribute to the design and implementation of Machine Learning Engineering standards and frameworks. You'll support model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed More ❯

Senior Machine Learning Operation Engineers to join our Data Function. You'll play a significant role within our Data Function, working on the design and implementation of machine learning model engineering frameworks, solutions, and best practices. You'll be technically proficient in machine learning and its applications; you'll demonstrate an understanding of data management and show a keen … Engineering, Architecture, and Software Development to ensure efficient operation and use of Data Science models and will facilitate the full life cycle of machine learning models from data ingestion, model development, testing, validation, deployment, to monitoring and retraining of models within different environments. If you've a strong understanding of Microsoft Azure, fluency in data science coding, and … skills Powering the business with the right tools What's involved: You'll contribute to the design and implementation of Machine Learning Engineering standards and frameworks. You'll support model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed More ❯

in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model lifecycle from data sourcing and feature engineering to validation, deployment, and monitoring Design and run A/B and champion/challenger tests to improve performance across approval … junior analysts/data scientists as the team expands Collaborate with data engineering to deploy models into production Work closely with stakeholders to define goals, communicate findings, and translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning … models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience More ❯

in a fast-paced environment. Key Responsibilities Lead the design, development, and maintenance of credit risk and affordability models using bureau, open banking, and behavioural data Own the full model lifecycle from data sourcing and feature engineering to validation, deployment, and monitoring Design and run A/B and champion/challenger tests to improve performance across approval … junior analysts/data scientists as the team expands Collaborate with data engineering to deploy models into production Work closely with stakeholders to define goals, communicate findings, and translate model outputs into business value About You You are an analytical thinker with a passion for using data to drive credit decisioning. You bring hands-on experience building machine learning … models for consumer credit and understand the nuances of data preparation, feature selection, and model validation in high-stakes environments. 5–7 years of experience in a credit-related data science or decision science role Proficiency in Python and experience with libraries such as scikit-learn, XGBoost, or LightGBM Strong SQL skills for data extraction and transformation Experience More ❯

both qualitatively and quantitatively to ensure they meet rigorous scientific standards. Contribute to building our overall loss modelling framework, ensuring robustness and adaptability across diverse client requirements and geographies Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial More ❯

both qualitatively and quantitatively to ensure they meet rigorous scientific standards. Contribute to building our overall loss modelling framework, ensuring robustness and adaptability across diverse client requirements and geographies Model documentation and presentations to engage with stakeholder and customers, all while representing the team at international conferences and industry events Requirements: MSc or PhD Degree in Computer Science, Artificial More ❯

valuation models, and established "street practices" used for security valuation and portfolio risk analysis is important. The ability to select and apply suitable pricing models, coupled with knowledge of model limitations and appropriate adjustments, is crucial in delivering accurate valuations. A discerning eye for assessing the reasonableness of model results is of great value. In this role, interactions … in a technical or quantitative field (e.g., Mathematics, Physics, Engineering, or Quantitative Finance); a PhD or equivalent experience is a plus. Experience in a front-office, financial engineering, or model validation role, with expertise in derivatives and structured products, including pricing, valuation, and risk management. Strong quantitative and analytical skills, with a deep understanding of market conventions, derivative More ❯

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯

pipelines, and ethical product delivery. Key Responsibilities Collaborate with product teams to identify opportunities for ML and data science integration Build and maintain data pipelines to support experimentation and model development Develop and deploy machine learning models in production environments Present insights and results to technical and non-technical stakeholders Apply statistical methods and model validation techniques … user-centric data products Stay curious, research new methods, and continually build your technical capability What We’re Looking For Proficiency in Python or similar languages for scripting and model building Hands-on experience with machine learning, model deployment, and performance evaluation Strong communication skills – able to simplify complex ideas for various audiences Awareness of Agile methodologies and More ❯