1 to 25 of 164 Model Validation Jobs in the UK

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 risk … 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 ❯

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 ❯

confident leader in risk. Why You’ll Thrive Here Career growth with purpose : start as a Senior Credit Risk Manager, with a clear path to expanded oversight in prudential, model validation, and stress testing. Inclusive and collaborative environment : thrive in a culture that values diverse perspectives and nurtures leadership, confidence, and innovation. Work-life balance you can lean … lending and forward-flow agreements. Monitor portfolio performance, detect emerging risks early, and recommend effective actions. Ensure robust credit assessment—from scoring and affordability checks to decision governance. Lead validation, calibration, and testing of models amid changing economic conditions and regulatory expectations. Model Development & Validation Champion model governance as the second line of defence, ensuring all … critical models align with our risk framework. Work alongside data scientists and partners to validate, back-test, and maintain model performance. Maintain clarity and structure through comprehensive model documentation and governance practices. Risk Reporting & Governance Craft and present risk insights to senior leadership and the Board. Contribute to setting risk appetite and limits, and support audits and regulatory More ❯

confident leader in risk. Why You’ll Thrive Here Career growth with purpose : start as a Senior Credit Risk Manager, with a clear path to expanded oversight in prudential, model validation, and stress testing. Inclusive and collaborative environment : thrive in a culture that values diverse perspectives and nurtures leadership, confidence, and innovation. Work-life balance you can lean … lending and forward-flow agreements. Monitor portfolio performance, detect emerging risks early, and recommend effective actions. Ensure robust credit assessment—from scoring and affordability checks to decision governance. Lead validation, calibration, and testing of models amid changing economic conditions and regulatory expectations. Model Development & Validation Champion model governance as the second line of defence, ensuring all … critical models align with our risk framework. Work alongside data scientists and partners to validate, back-test, and maintain model performance. Maintain clarity and structure through comprehensive model documentation and governance practices. Risk Reporting & Governance Craft and present risk insights to senior leadership and the Board. Contribute to setting risk appetite and limits, and support audits and regulatory 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 ❯

Responsibilities: Engage in the validation and approval sign off of the firm's models across Liquidity Risk, Market Risk, and Counterparty Risk models. Challenge model assumptions, implementations, and mathematical formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements … Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and experience working with ILST/VaR models Technical: Python More ❯

Responsibilities: Engage in the validation and approval sign off of the firm's models across Liquidity Risk, Market Risk, and Counterparty Risk models. Challenge model assumptions, implementations, and mathematical formulations. Review and oversee the monitoring of the performance of models including outcomes, verification, and benchmarking. Understand and communicate the risks of model limitations to senior management. Requirements … Education: PhD/Masters in a finance/mathematical/quantitative field Prior Experience: 3-5 years in model validation of liquidity/market/counterparty risk models. Knowledge: Strong understanding and experience working with ILST/VaR models Technical: Python 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 ❯

be involved in industry leading, cutting-edge design project for a new type of power station. The Senior C&I Modelling & Simulation Engineer will be involved in the development, validation and verification of software simulation models of the nuclear power plant and C&I systems using suitable modelling tools, and software validation and verification techniques. The role will … support the integration of simulation models within an overall simulation model architecture. The simulation model will be used to support C&I design activities and validation and verification of C&I functional requirements. The role will support the development of the modelling and simulation, and validation and verification environments, policies, procedures, and tool sets. Key Results … What can be achieved in the role Planning model development work within an agile framework. Development of the modelling and simulation and validation and verification environments, policies, procedures, and tool sets. Development of simulation model architectures and integration of system component models. Development of models and simulations suitable for C&I design activities and validation and More ❯

be involved in industry leading, cutting-edge design project for a new type of power station. The Senior C&I Modelling & Simulation Engineer will be involved in the development, validation and verification of software simulation models of the nuclear power plant and C&I systems using suitable modelling tools, and software validation and verification techniques. The role will … support the integration of simulation models within an overall simulation model architecture. The simulation model will be used to support C&I design activities and validation and verification of C&I functional requirements. The role will support the development of the modelling and simulation, and validation and verification environments, policies, procedures, and tool sets. Key Results … What can be achieved in the role Planning model development work within an agile framework. Development of the modelling and simulation and validation and verification environments, policies, procedures, and tool sets. Development of simulation model architectures and integration of system component models. Development of models and simulations suitable for C&I design activities and validation and More ❯

be involved in industry leading, cutting-edge design project for a new type of power station. The Senior C&I Modelling & Simulation Engineer will be involved in the development, validation and verification of software simulation models of the nuclear power plant and C&I systems using suitable modelling tools, and software validation and verification techniques. The role will … support the integration of simulation models within an overall simulation model architecture. The simulation model will be used to support C&I design activities and validation and verification of C&I functional requirements. The role will support the development of the modelling and simulation, and validation and verification environments, policies, procedures, and tool sets. Key Results … What can be achieved in the role Planning model development work within an agile framework. Development of the modelling and simulation and validation and verification environments, policies, procedures, and tool sets. Development of simulation model architectures and integration of system component models. Development of models and simulations suitable for C&I design activities and validation and More ❯

and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques About the team The India Machine Learning team works closely with the business and engineering teams in building ML solutions that create an impact for Amazon's IN businesses. This is a great opportunity to leverage your machine learning More ❯

to drive sustainable growth. Your role in the Team's Success The Head of Quantitative Analysis will lead our firm's quantitative research and analytical capabilities, overseeing the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical insights to drive data-driven decision … all quantitative research activities Research & Development Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools Oversee the research process from hypothesis generation to model validation and implementation Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit Stay at the forefront of developments in quantitative finance, machine learning, and … statistical modelling Foster a culture of intellectual rigor, analytical excellence, and continuous improvement Model Development & Validation Ensure robust development and validation of quantitative models across all business functions Oversee the implementation of analytical frameworks for portfolio optimization, performance attribution, and risk assessment Guide the integration of new analytical tools and methodologies into existing workflows Maintain model More ❯

serve to drive sustainable growth. Your role in the Teams Success The Head of Quantitative Analysis will lead our firm's quantitative research and analytical capabilities, overseeing the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical insights to drive data-driven decision … all quantitative research activities Research & Development Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools Oversee the research process from hypothesis generation to model validation and implementation Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit Stay at the forefront of developments in quantitative finance, machine learning, and … statistical modelling Foster a culture of intellectual rigor, analytical excellence, and continuous improvement Model Development & Validation Ensure robust development and validation of quantitative models across all business functions Oversee the implementation of analytical frameworks for portfolio optimization, performance attribution, and risk assessment Guide the integration of new analytical tools and methodologies into existing workflows Maintain model More ❯

to drive sustainable growth. Your role in the Team's Success The Head of Quantitative Analysis will lead our firm's quantitative research and analytical capabilities, overseeing the development, validation, and enhancement of quantitative models and analytical frameworks across multiple asset classes. This senior leadership role combines deep technical expertise with strategic analytical insights to drive data-driven decision … all quantitative research activities Research & Development Drive the innovation and enhancement of proprietary analytical models, valuation frameworks, and risk assessment tools Oversee the research process from hypothesis generation to model validation and implementation Evaluate and prioritize analytical initiatives based on business impact, feasibility, and strategic fit Stay at the forefront of developments in quantitative finance, machine learning, and … statistical modelling Foster a culture of intellectual rigor, analytical excellence, and continuous improvement Model Development & Validation Ensure robust development and validation of quantitative models across all business functions Oversee the implementation of analytical frameworks for portfolio optimization, performance attribution, and risk assessment Guide the integration of new analytical tools and methodologies into existing workflows Maintain model More ❯

assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. Why you will love this opportunity: Amazon is investing heavily in building a world-class 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 ❯

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 ❯

What you will be doing Support end-to-end deployment of ML models (batch and real-time) from code validation through to production rollout under guidance from senior team members. Work with Data Science teams to facilitate smooth model handover and ensure deployment readiness aligned with implementation standards. Build and maintain CI/CD pipelines for model deployment, scoring, and operational monitoring. Debug and fix pipeline issues including data ingestion problems, model scoring failures, and deployment errors. Write comprehensive tests for ML pipelines (unit, integration, validation) and implement data quality checks and operational monitoring. Ensure deployed models meet audit, reconciliation, and governance requirements. Monitor production models for operational health, troubleshoot failures, and track data …/variable drift over time. Work with Platform Engineers within the team to create reusable MLOps templates and support Data Scientists in using them effectively. Support model migrations across data sources, tools, systems, and platforms. Participate in code reviews, knowledge sharing, and pod activities (standups, grooming, delivery check-ins). Learn from senior team members and contribute to continuous More ❯

design meetings to help shape 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 to continuously improve the team 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 ❯

and trading venues. Drive the solutioning and delivery of large-scale surveillance systems in a global investment banking environment, leveraging Python, PySpark, big data technologies, and MS Copilot for model development, automation, and code quality. Play a pivotal role in communicating complex technical concepts through compelling storytelling, ensuring alignment, and understanding across business,compliance, and technology teams. Responsibilities Architect … solutions are compliant with global Market Abuse Regulations (MAR, MAD, MiFID II, Dodd-Frank, etc.). Lead code reviews, mentor junior quants/developers, and establish best practices for model validation and software engineering, with a focus on AI-assisted development. Integrate surveillance models with existing compliance platforms and workflow tools. Conduct backtesting, scenario analysis, and performance benchmarking … of surveillance models. Document model logic, assumptions, and validation results for regulatory audits and internal governance. SKILLS Must have Technical Skills: 7+ years of experience Investment banking domain experience Advanced AI/ML modelling (Python, PySpark, MS Copilot, kdb+/q, C++, Java) Must be well versed with SQL and have hands on experience writing SQL (preferably Spark More ❯