1 to 25 of 100 Model Validation Jobs in England

We are looking to onboard a Senior Business Analyst to work within the Finance Model Risk Management Programme at a large UK bank on a contract basis. The role will be London based and hybrid (expectation minimum 1-2 days per week on-site). This is an initial 6 month contract, with potential for extension to support the … technical infrastructure. Background and Role In May 2025, the PRAs Supervisory Statement SS1/23 came into effect, raising expectations on banks to strengthen governance, oversight, and control of model risk. The banks Finance & Treasury functions have assessed their existing model risk practices and identified areas for improvement. To address these, a six-month improvement programme has been … mobilised with three key initiatives: Model Implementation building a proof-of-concept (POC) model execution framework on AWS. Model Monitoring developing a POC monitoring framework to standardise oversight and performance testing. Model Documentation defining gold standard documentation templates across the Finance model lifecycle. These initiatives will act as foundational pillars for achieving a compliance plus More ❯

with the CAT Risk function, reporting directly into the AVP for CAT Risk and Capital. You will lead in the areas of complex pricing support, portfolio analysis and optimisation, model validation, VoR and other related areas.You will have deep understanding of CAT models and hands on experience of validating and implementing new perils and/or regions into … You will bring advanced technical skills, including proficiency in the Microsoft Suite, SQL, geospatial tools, and statistical packages used for data retrieval and analysis. With hands-on experience in model validation, you also offer strong leadership capabilities, having successfully managed change, developed teams, and aligned resources to achieve strategic goals. Your exceptional organisational skills enable you to manage … levels of seniority. 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 play an leading role in CAT View of Risk (VOR) discussions. Perform scenario testing and sensitivity analysis to refine catastrophe risk appetites and willingness to More ❯

Model Validator London- Hybrid £800- £900pd PAYE emagine is a high-end professional services consultancy and solutions firm Specialising in providing business and technology services to the financial services sector, we power progress, solve challenges and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine … and equitable working environment with our consultants and colleagues which stems from our core values: Confident, Dedicated, Responsible, Genuine. Join a leading organization in the finance sector, focusing on model risk management under Basel 3.1 regulations. We are seeking a Model Validator with a strong foundation in regulatory compliance and validation processes, ideally suited for experienced Quant … Analysts who wish to transition from model development to validation. Your role will emphasize the review and assurance of governance frameworks and the accuracy of self-assessments. Main Responsibilities This role will focus on ensuring the integrity of model validation practices. Conduct independent reviews and validations of models created by quant teams. Ensure compliance with Basel regulations 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

implementation of PFE and intraday/end-of-day credit risk monitoring, with a strong emphasis on quantitative analysis and validation. The role will require engagement with risk quants, validation of pricing and simulation models, mapping of complex products, and involvement in rigorous testing of risk models and systems. The role: Act as a Quantitative BA within the PFE … Perform detailed quantitative and technical analysis of PFE methodologies and infrastructure design. Document and validate user requirements with a focus on credit exposure modelling and risk factor behaviour. Support validation of pricing models, simulation engines, and PFE calculations using vendor or in-house tools. Map complex products (Interest Rates, FX, Loans, and derivatives) into PFE model frameworks, ensuring … consistency across modelled and non-modelled approaches. Collaborate with risk quants to understand methodology design and communicate requirements to development teams. Define and execute structured testing methodologies, including quantitative validation, regression testing, and end-to-end model testing. Partner with production teams to ensure smooth deployment of new quantitative risk processes and controls. Provide subject matter expertise in 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 ❯

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 ❯

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 ❯

clearing, and collateral management for equities, fixed income and repo products. About the Role You will be part of a collaborative team focused on first-line risk management and model governance for trade, collateral, and liquidity oversight. Working closely with risk, business, and quant leads, you'll gain hands-on exposure across multiple asset classes while growing your technical … and stakeholder-facing skills. Key Responsibilities Drafting risk governance reports, model amendments and technical documentation for internal committees and senior stakeholders Supporting risk model reviews and scenario testing across repos, equities, and collateral portfolios Collaborating with quants, risk managers, and business partners to improve models, controls, and processes Presenting technical materials to risk committees and management, translating quant … risk controls, and product innovation Supporting continuous improvement in risk and control frameworks and day-to-day business decision-making Candidate Profile 3-7 years' experience in risk analytics, model validation, or quant analysis within financial markets, clearing, post-trade, or banking (middle office, treasury, or product control) Degree (ideally MSc/PhD) in a quantitative subject: Mathematics More ❯

help identify high-impact opportunities for rapid capability delivery. You'll also be responsible for building robust MLOps pipelines using tools like Airflow and MLflow, ensuring scalable and automated model deployment and governance. What you'll need to succeed Essential Skills: * Bachelor's degree (2:1 or above) in science, engineering, mathematics, or computer science * Strong Python development skills More ❯