17 of 17 Model Validation Jobs in the City of 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

I'm currently supporting a fast-growing digital bank. Their Model Risk Oversight Team is looking for a talented Senior Analyst to focus on model validation – covering everything from IFRS 9 and forecasting to operational risk and AI/ML models. 🔍 What you’ll be doing: Validating diverse models across the bank Writing clear, actionable validation reports Presenting findings to committees and working closely with developers and stakeholders Helping shape model governance throughout the model lifecycle 🛠 What we're looking for: 2–3 years’ experience in model validation or development Proficiency in Python, R, SQL, SAS or similar tools Strong communication skills and analytical mindset Bonus: Familiarity with regulatory frameworks (EBA More ❯

SENIOR CREDIT MODEL VALIDATION ANALYST £65,000 LONDON/MANCHESTER THE COMPANY This successful FinTech has been growing significantly and has exciting plans and projects in the pipeline. They are at the forefront of the financial space and this role offers a chance for someone to work on hands-on model validation across their regulatory and … opportunity offers the rare chance to help grow the business and get involved in a range of modelling projects. THE ROLE Within this, you can expect to work on: Validation of models across the bank, including IFRS9, Treasury, Scorecards and Forecasting Development of challenger models as necessary to enhance this area of the bank Supporting other teams across the … implementation and wider maintenance of these models Working closely with the broader bank to implement Machine Learning and AI models YOUR SKILLS AND EXPERIENCE Essential to have experience in model development or validation Exposure to IFRS9 and wider credit models is essential Experience in Python/SQL/SAS/R Educated to at least degree level in 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 ❯

institutions and businesses which make the UK what it is. By encompassing a wide range of disciplines across a breadth of areas such as FRTB, Traded Risk, Conduct risk, Model Validation and Ops Risk we become immersed in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes and get it right first More ❯

rare conditions. We’re looking for a principal computational biologist or data scientist to play a critical role in this project — leading the analyse of image-based embeddings, validating model outputs, and collaborating closely with ML engineers and vision scientists to ensure the biology behind the model holds up. Must Haves: PhD in Computational Biology, Bioinformatics, Systems Biology … and analysing multi-modal biological data, such as transcriptomics, proteomics, or single-cell data. Proficiency in Python, including libraries such as Pandas, NumPy, scikit-learn Experience analysing deep learning model outputs, especially from vision models and working with biological image embeddings. Ability to evaluate model performance, interpret model outputs, and connect them to biological hypotheses. Demonstrated ability … biological or image data. Familiarity with deep learning frameworks (e.g., PyTorch or TensorFlow). Familiarity with cell-level microscopy (e.g., Cell Painting, HCS) and downstream biological interpretation. Understanding of model feedback loops — such as collaborating with ML teams to refine models based on biological relevance. Strong grasp of data visualization tools and techniques for communicating multi-dimensional biological findings. More ❯

MODEL VALIDATION MANAGER COMPETITIVE SALARY UP TO £80,000 LONDON, HYBRID WORKING (2-3 DAYS A WEEK IN OFFICE) In this role, you’ll be leading a talented team of analysts to validate a range of models across the business, including ML, AI, IFRS9, and Forecasting. You’ll be leading Risk Assurance reviews and presenting high-level validation … experiencing consistent levels of growth. You’ll be working within a highly talented team and have the opportunity to drive real change. THE ROLE Validate and support in the validation of various models across the business, from more traditional models like IFRS9 and Forecasting, to AI and ML models. Engage with model owners and developers to ensure validation … findings are accurate and understood Lead the Risk Assurance reviews and produce committee papers to present to senior stakeholders YOUR SKILLS AND EXPERIENCE Strong experience in the Credit Risk Model Validation space AI Model knowledge and experience are required Proficiency in either SQL, SAS, or Python Management experience THE BENEFITS Competitive salary up to £80,000 Hybrid 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 ❯

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 ❯

and work closely with senior stakeholders to drive measurable commercial outcomes. In addition to technical delivery, the role involves experimentation design, implementation of testing frameworks, and ongoing refinement of model outputs. The ideal candidate will also contribute to the strategic development of their advanced attribution offering, support new business efforts, and playing a leadership role in growing data science … attribution models (MMM) for a global education client, delivering actionable insights that drive growth and efficiency. Design and analyse experiments (e.g. geo-testing, holdouts) to validate and continuously improve model recommendations. Work closely with client stakeholders, including executive teams, to translate analytical findings into strategic actions. Contribute to the expansion of our attribution and marketing science capabilities, including methodologies More ❯

CFD codes (preferably using FORTRAN/C++) for fluid and plasma simulations. Implement and validate advanced numerical models for fluid dynamics, heat transfer, and plasma phenomena. Perform rigorous code validation and verification against experimental data and theoretical models. Work collaboratively within our team to ensure seamless integration of code modules and workflows. Create and maintain comprehensive documentation for code More ❯

institutions and businesses which make the UK what it is. By encompassing a wide range of disciplines across a breadth of areas such as FRTB, Traded Risk, Conduct risk, Model Validation and Ops Risk we become immersed in our clients' organisations, applying sector knowledge and technology solutions to deliver the best possible outcomes and get it right first More ❯