16 of 16 Permanent Model Validation Jobs in Central London

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 ❯

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 ❯

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 ❯

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 ❯

servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders in a clear and concise manner. Campaign Optimisation: Provide data-driven … insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background More ❯

in the team due to continued success. THE ROLE Lead the end-to-end development of IRB models across a range of clients Assist the wider team with broader model projects including application and behavioural scorecards Work closely with the model validation team to enhance model performance Manage a small team of analysts to drive the More ❯

drive business outcomes. Key responsibilities include: Designing and building data processing and streaming systems Leading initiatives on data storage, optimisation, and database management Applying statistical methods, hypothesis testing, and model validation Developing and evaluating AI/ML models to deliver actionable insights Collaborating with engineering teams to maintain data quality and scalability Communicating technical concepts effectively to non More ❯

This role is ideal for someone experienced in natural catastrophe modelling and confident working with large geospatial and financial loss datasets. You’ll contribute to the development, calibration, and validation of loss models that project climate-related physical impacts such as floods, subsidence, storms, droughts, and wildfires — helping clients assess and manage climate risks effectively. Key Responsibilities Develop loss More ❯

as a governance and architecture lead across multi-party AI initiatives. 4. Risk, Compliance & Responsible AI Ensure solutions are aligned with regulatory and compliance requirements (e.g., FINRA, SEC, GDPR, Model Risk Governance). Design solutions with embedded safeguards around transparency, explainability, auditability, and ethical AI usage. 5. Knowledge Development & Enablement Create reusable playbooks, frameworks, and GenAI solution kits specific … in both business and technology. Experience working in or with regulated financial environments and navigating security and compliance requirements. Preferred Qualifications Experience with retrieval augmented generation (RAG), fine-tuning, model evaluation, or deploying models in production environments. Understanding of financial risk modeling, model validation, or operational risk frameworks. Knowledge of regulatory frameworks such as DORA, SR More ❯

financial decisions across global markets. Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates … of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication More ❯

a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise and deploy monitors with automated testing and evaluation tools. Support ML Ops development to track model health, detect drift/skew, and ensure model reliability in production. Focus on Scalability and Clean Code: Write clear, well-documented, and reusable code in line with engineering … coding skills in Python and working knowledge of SQL and cloud platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You … machine learning or related fields. Interest in secure, scalable, and ethical AI systems. The Benefits: Join an innovation-driven team working on high-impact, future-ready tech. Hybrid working model with a central London base. Exposure to emerging AI tools and systems. Competitive compensation, performance bonus, and career growth opportunities. If you're a creative and driven Machine Learning More ❯

process. Development of quantitative models for the evaluation of complex structured deals, support originators/traders in the development and implementation of trading strategies incorporating such models. Development and validation of quantitative models for use in transaction valuation and risk measurement within the Commercial Risk. Risk data management - Ensure data in Risk systems are accurate, complete and accessible. Risk More ❯

machine learning and forecasting libraries. Work with product and data science management to develop key results for given product objectives. Establish scalable and efficient practices for data mining, ML model development, validation and inference. Building demand forecasting models Stay up-to-date on the most recent advances in AI and machine learning Requirements: MSc Degree in Computer Science 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 ❯

academic science background ( Masters or PHd) in Climate Change, Flooding, Geology or a similar area of study, to join this Lloyd's Syndicate in a high profile Research and Validation role. They are offering a salary upto £85000 plus an excellent range of benefits This role is immediately available and is based in their City of London offices More ❯