25 of 25 Model Validation Jobs in the City of London

modelling analyst position which will involve modelling IFRS9 and scorecard models. You can expect to be involved in the following day to day: Develop and maintain IFRS9 and scorecard model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE Experience More ❯

modelling analyst position which will involve modelling IFRS9 and scorecard models. You can expect to be involved in the following day to day: Develop and maintain IFRS9 and scorecard model Produce model methodology and documentation Interact closely with stakeholders regarding model developments Work closely with data science and model validation teams SKILLS AND EXPERIENCE 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 ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes More ❯

ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions of behavioural data points Working closely with product and business teams to translate findings into actionable outcomes 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 ❯

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 ❯

SENIOR MODEL RISK MANAGER – 12 MONTH FTC £110,000 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 across their regulatory and wider models. This unique opportunity offers … business and get involved in a range of modelling projects. THE ROLE Drive impactful change across the business by leading the implementation and compliance assessment of the Bank’s Model Risk Policy. Take ownership of the periodic review and enhancement of Model Risk Governance Policies and Standards. Keep the pulse on model performance through proactive updates and … management of the Model Inventory, including risk assessments and insightful reporting. Influence key decisions by delivering compelling reports to Committees on model performance and alignment with the Bank’s model risk appetite. YOUR SKILLS AND EXPERIENCE Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring More ❯

SENIOR MODEL RISK MANAGER – 12 MONTH FTC £110,000 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 across their regulatory and wider models. This unique opportunity offers … business and get involved in a range of modelling projects. THE ROLE Drive impactful change across the business by leading the implementation and compliance assessment of the Bank’s Model Risk Policy. Take ownership of the periodic review and enhancement of Model Risk Governance Policies and Standards. Keep the pulse on model performance through proactive updates and … management of the Model Inventory, including risk assessments and insightful reporting. Influence key decisions by delivering compelling reports to Committees on model performance and alignment with the Bank’s model risk appetite. YOUR SKILLS AND EXPERIENCE Essential to have worked on model governance, monitoring and reporting within retail banking Exposure to IFRS9/IRB/Scoring 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 ❯

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 ❯

Key Responsibilities: AI in Financial Services Design and implement AI-driven solutions for risk modelling, financial fraud detection, AI governance, and regulatory compliance. Advise clients on responsible AI adoption, model validation, and regulatory obligations. Support AI governance frameworks ensuring ethical, explainable, and compliant use of AI across financial services. Digital Operational Resilience (DORA) Deliver gap assessments, compliance roadmaps … experience in Financial Services consulting or advisory roles. Strong understanding of AI applications in finance, particularly in fraud detection, credit risk, and regulatory compliance. Experience with AI governance frameworks, model risk management, and compliance standards. Knowledge of operational resilience frameworks, including DORA, PRA/FCA resilience requirements, or similar regulations. Track record of delivering gap assessments, resilience testing, and More ❯

with production-level code, version control (e.g., Git), and high-performance computing environments. Contributions to the development of systematic trading strategies that have been successfully deployed. Histories of rigorous model validation and performance analysis, with emphasis on avoiding overfitting and managing risk. Qualifications, Licenses And Academic Achievements: Ph.D. in a quantitative field highly preferred. Published research in top 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 ❯

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: PhD Degree in Computer Science 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 ❯

and premium experiences, helping customers understand the value of upgrading while ensuring clarity and trust. You’ll collaboratively help us define user centred, commercially impactful patterns of our freemium model, and rules around how we implement these patterns. You’ll work closely with stakeholders across product, e-commerce, legal, and engineering to bring commercially impactful, user-centric solutions to More ❯

and premium experiences, helping customers understand the value of upgrading while ensuring clarity and trust. You’ll collaboratively help us define user centred, commercially impactful patterns of our freemium model, and rules around how we implement these patterns. You’ll work closely with stakeholders across product, e-commerce, legal, and engineering to bring commercially impactful, user-centric solutions to More ❯

Cyber Insights Analyst City of London (Hybrid) Up to £55,000 + 20% Bonus Are you passionate about using data to solve complex problems and deliver real business impact? A global leader within Insurtech are looking for a Cyber Insights More ❯

Cyber Insights Analyst City of London (Hybrid) Up to £55,000 + 20% Bonus Are you passionate about using data to solve complex problems and deliver real business impact? A global leader within Insurtech are looking for a Cyber Insights More ❯

We are seeking an Analytical Data Engineer to join a leading Analytics as a Service (AaaS) provider, supporting clients across energy management, predictive maintenance, HR, and finance. You will transform complex data from multiple sources into actionable insights, creating user More ❯

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to More ❯

As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to More ❯