1 to 25 of 128 Model Validation Jobs in the UK excluding London

everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices. We are looking for a talented and passionate Model Validation Senior Analyst to join our Model Risk Oversight Team. The team focuses on validating and overseeing the risks associated with all … models across Starling, particularly those involving advanced modeling techniques (including AI). If you have model validation/model build experience and are eager to be part of the team that plays a vital role in model risk management, we want to hear from you! As … a Senior Analyst - Model Validation, with the support from your manager, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model More ❯

Model Validation Quant Contract OUTSIDE IR35 Quant Capital is urgently looking for a Model Validation Quant to join our high profile client. Our client is a Tier 1 Investment Bank. This is a first-line quant role — embedded with the quant desk and directly shaping modelling … them after the fact. This isn’t just about implementing models. It’s about being the person who sees the cracks before they become validation blockers. We need someone who can: • Challenge model assumptions • Spot weaknesses in structure, calibration, or data • Write documentation that defends the model with clarity and depth You’ll work closely with FO quants, guide their submissions, and act as a bridge to model validation — pre-empting issues before they escalate. Responsibilities: • Review and guide FO quant model submissions with a critical eye • Develop, test, and refine models using More ❯

Corporate Audit Services (CAS) performs operational audits in the area of Model Risk with a dedicated Models team. As part of this team, an Audit Supervisor Specialist plays a key role in providing assurance on Model Risk, with a worldwide coverage, and across all risk and business domains. … The Team You will be located in Amsterdam within the Model Risk audit team, working in hybrid mode between home and the office. International audits are performed as a joint effort between local audit teams and central model risk experts. This team is part of the CAS Risk … supported and innovation is stimulated. Roles and responsibilities As an Audit Supervisor Specialist for Market Risk you are a Subject Matter Expert in multiple model (risk) related domains. You are responsible for performing model audits and contributing to model audit strategy development (including (agile) execution, and data More ❯

models. Making key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia. Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of the materiality of any model limitations (e.g. RNIV). Documenting model implementation details, tests, and findings for model validation to review, in accordance with Firm’s Model Risk Management policies and framework. Qualifications: Strong background in market risk models and … results). Excellent communication and presentation skills (ability to engage in concise, effective discussions). Excellent written skills (ability to produce well-structured technical model documentation). Ability to work without significant direct supervision. Previous experience of regulatory capital model & economic capital model is preferred. Knowledge of More ❯

IRB MODEL DEVELOPMENT CONSULTANT UP TO £90K LONDON This is a fantastic opportunity for an experienced professional to play a key role in the development and implementation of Internal Ratings-Based (IRB) credit risk models for banks and financial institutions. THE ROLE Develop and validate IRB models: Lead the … development and validation of PD, LGD, and EAD models in line with regulatory requirements (Basel III/IV). Quantitative analysis: Apply advanced statistical techniques, machine learning methods, and data analysis to build risk models. Stakeholder management: Collaborate with key stakeholders including clients, risk management teams, and regulatory bodies … to deliver tailored solutions. Documentation: Prepare comprehensive model documentation, including technical reports, model validation findings, and compliance assessments. Consultancy support: Provide expert advice and insights to clients on regulatory trends and the strategic impact of model changes on capital requirements. REQUIREMENTS IRB model development experience More ❯

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

Contribute to the organisation's AI strategy by identifying opportunities for leveraging AI technologies to drive innovation, improve business processes, and enhance decision-making. Model Development and Evaluation: Contribute to the development, deployment, and evaluation of AI models and to the deployment and evaluation of off the shelf AI … and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role … is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we More ❯

of forecasting models, including time series and machine learning, implementing “what-if” scenarios for capacity planning and demand variability. Core areas of responsibility; Forecasting model development Data management Model selection and validation Model deployment and maintenance Data Scientist Candidate Requirements: Post study experience as Data Scientist More ❯

and its application to risk management in banking You will have strong Wholesale IRB background (essential) with hands-on experience in IRB credit risk model development, and a strong understanding of IRB approval process and existing regulations are a must, along with familiarity with both local and relevant international … regulations within financial services e.g. PRA/ECB supervision Possess hands-on experience in Wholesale IRB credit risk model building and/or validation (i.e., beyond audit or review activities) - the interview process will involve a deep dive into the technical knowhow of modelling, validation techniques and … Spain, Middle East, Netherlands, South Africa, my client is a boutique firm with a demonstrable focus around Credit Risk Management, modelling, data analytics and model validation etc. Working with a range of innovative, ambitious, growing and forward-thinking Financial Services businesses, my client differentiates itself from the larger More ❯

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 More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative … class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field More ❯

methods to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll also have the opportunity to present results to both internal teams and clients. What you'll be working on Developing innovative … class Price & Promotions capabilities Supporting our high-performing Price & Promotions experts by implementing new capabilities with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field More ❯

with cross-functional teams including marketing, merchandising, and supply chain. Mentor and support junior data scientists and analysts. Promote best practices in data science, model validation, and experimentation (e.g., A/B testing). Key Requirements: Proven experience (5+ years) in a data science role, preferably in the More ❯

doing? • Advising clients on the impact of changing requirements in provision accounting standards (IFRS9) and Basel credit risk capital requirements (IRB). This will model review and validation activities such as: • Technical model development documentation review; • Assessment of model performance • Replication testing; and • Reviewing models’ against … accounting and risk requirements as related to IRB, IFRS9, and other regulatory credit risk models • Detailed working knowledge and experience of all aspects of model development and validation including the following: • Data extraction and pre-processing • Modular model development • User acceptance testing • Model performance assessments • Relevant More ❯

initial 6 month contract + opportunity to extend long-term & start date May 2025. Role Summary: Lead data activities including extraction, transformation, analysis, and validation to support Marketing Mix Modelling (MMM). Build, enhance, and validate models to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities More ❯

technical stakeholders. Write robust, production-ready Python code and partner with technology teams to operationalise models. Ensure models are compliant with internal governance and model risk frameworks. Provide ongoing model validation, documentation, and performance monitoring. Ideal Candidate Will Have: Strong background in ALM or Treasury modelling, particularly More ❯

strong analytical mindset and prefer working behind the scenes with data Leading the modelling process from briefing, data exploration, and variable selection through to model building, interpretation, and being involved in the presentation of results (interim and final debriefs will be presented by the Account Director) Creating clear and … presentations Experience & Skills Required Strong econometric modelling skills using tools such as R, Python, or other statistical software packages (e.g., EViews, SAS) Experience with model validation, diagnostics, and performance metrics Ability to handle large datasets, clean and transform raw data, and apply advanced statistical techniques such as regression … saturation, and interaction effects The successful candidate will be expected to take full ownership of modelling projects, from raw data ingestion through to final model delivery and client-ready outputs, with minimal supervision. If this sounds like you then please apply! Alternatively, you can refer a friend or colleague More ❯

be doing: Spotting opportunities to apply data science and ML to solve meaningful product challenges Designing and building data pipelines to support experimentation and model development Running structured experiments and analysing performance metrics to validate outcomes Deploying and maintaining models in production and delivering clear business impact Collaborating closely … engineering, and business stakeholders What you’ll bring: Hands-on experience developing and productionising ML models Strong analytical background with applied stats, EDA, and model validation techniques Confidence working with structured data pipelines and modern tooling (AWS, Snowflake, Airflow, DBT) Curiosity for emerging techniques and an eagerness to More ❯

Our client is a Tier 1 Investment Bank who urgently need a Senior Director Level, Equity validation/documentation/modelling quant contractor. 📍 Location: London 💰 Rate: £1,500 - £1,750 per day (Inside IR35) 📅 Contract: 6 months (extension likely into 2026) 📩 Urgent hire – Start ASAP! We're looking for … an Equity specialist - highly experienced with exotic equity derivatives models. Somebody who understands the model details, assumptions/limitations and how they are quantified- and who has developed alternative models or benchmarks. The context is that the Equity/Hybrids FO quants are pushing a raft of new models … towards the validation team. The contractor will join the Quant Analytics team who helps shape these new models and associated submissions. At the moment the volume of submissions is beyond the team’s capacity which is why they urgently need a Temp. This is front office role sitting in More ❯

are reliable, efficient, and scalable. Responsibilities: Develop browser extensions and desktop apps (Windows and MacOS). Create web apps for AI agent audits and model performance validation. Design and implement robust pipelines for AI models - for reliability and scalability. Write clean, maintainable, defensible, and scalable code with a high More ❯

Lake + OLAP) in AWS Develop scalable data pipelines in Python , working with SDKs and data libs Own end-to-end data modeling , ingestion, validation, and optimization for high-concurrency access Tune performance of cross-region, multi-format data stores (columnar, real-time, etc.) Deliver tailored solutions directly to More ❯

level. Design of FPGA hardware (generally using the latest AMD FPGAs, including Versal). Development and debug of FPGA VHDL code. Design, testing and validation of high-speed serial interfaces such as PCIe, Aurora, JESD, and Ethernet. Design of interfaces and control blocks for HW components such as ADC More ❯

role requires some knowledge of Price Risk processes covering inventory, valuations, front-to-back controls, market risk processes(Value-at-Risk VaR, Stress-testing), model risk (including model methodology and validation), product control (P&L explain), IPV (Independent Price Verification) and end to end governance. Successful execution … in class target state, as well as a set of practical actions to achieve. The workstreams range from frameworks with a focus on operating model, risk and controls, methodologies, data and data controls, front office valuations and controls, various market risk related workstreams to P&L attribution analysis (PAA … issues and collaborate with stakeholders to generate solutions Work with Control and Internal Audit stakeholders to ensure credible challenge throughout the remediation process and validation of results in line with Internal Audit requirements Present on status of the program to senior stakeholders Qualifications & skills: 10+ years of experience in More ❯