1 to 25 of 59 Model Validation Jobs in the UK excluding London

across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking.On behalf of this organisation, AMS are looking for a Programme Lead (Model Validation Transformation) for a 6 Months (with likely extension) contract based in London or Edinburgh (Hybrid). Purpose of the role: As Programme … Lead with experience in Model Validation Transformation you will drive a high-profile transformation initiative within a Group Model Validation function. Operating at the intersection of risk, regulation, technology and AI, you will play a key role in shaping the future operating model, improving validation ...

proud of. And you can play your part too join our dedicated Risk division on a 12 month fixed term contract as a Model Validation Specialist and play an important part in that purpose by providing independent, expert challenge across the models that help us understand credit risk … make sound decisions and meet regulatory expectations. How you'll make a difference You will perform independent model validation reviews and oversight of the Society's residential mortgage IRB and other credit-related models to ensure they are conceptually sound, appropriately implemented, and are compliant with internal policies ...

solver, organised, proactive, pragmatic and an excellent team player? Are you seeking an opportunity to develop and grow your professional value in a dynamic Model Development Team? What is the role This role is positioned within the IFRS9 Team in Risk Analytics as a Senior Quantitative Risk Analyst. … models appropriately capture the risk dynamics within the portfolio. Contributing to the standards, methodologies and toolsets required to perform analytic activities. Design of model methodology and automation of model development processes. The extraction and cleansing of data, statistical analysis to support model specification, segmentation, and factor selection ...

level risk. We are seeking an experienced Credit Risk Modeller with strong hands-on expertise in scorecard development, bureau data modelling, and regulatory-aligned model design. This is a key delivery role responsible for developing high-quality models that meet governance standards and are ready for deployment into … credit decisioning platform. This is a hands-on contractor opportunity, ideal for someone who can quickly integrate into the team, take ownership of model development, and deliver high-quality outputs at pace. Key Responsibilities Develop new credit risk models, including: Application scorecards Behavioural (in-life) scorecards Probability of Default ...

decisions without relying on cloud infrastructure or continuous data transmission. This is not a supervised learning problem on tabular business data. This is not model serving from a GPU cluster. This is embedded machine learning in its most demanding form: taking sophisticated sensor-based classification systems and making them … unpredictable behaviour of systems deployed in the real world. Your job is to transform this stream into a robust, real-time classification model that runs on hardware with severe constraints on memory, computation, and power. Engineering Under Constraint. Every machine learning decision you make has downstream consequences for embedded ...

driven solutions within a complex, enterprise-scale environment. This is an exciting opportunity to lead testing strategy across cutting-edge AI systems, ensuring robust validation, strong governance, and continuous quality improvement across digital platforms. The Role As a Senior Test Engineer, you will operate at a strategic level, shaping … testing approaches for AI and data services while remaining hands-on across automation, validation, and delivery pipelines. You will: Lead the design and execution of end-to-end test strategies across AI and digital programmes Ensure quality across AI models, data pipelines, APIs, and cloud-based services Embed test ...

solutions aligned to Army training objectives and enterprise architecture principles. Support the development and maintenance of ML pipelines including data preprocessing, feature engineering, model training, validation, and performance evaluation. Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints. Monitor deployed … candidate will support the development and integration of AI/ML models aligned with Army training goals and OMNIA architecture, assisting with data preparation, model evaluation, and workflow automation. They will collaborate with technical teams, document processes, monitor model performance, and contribute to ethical AI practices. The role ...

models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies, and tools to streamline model development. You will work across all Borrowing products and influence product and credit strategy. Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend … Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics; BigQuery, SQL and dbt for data modeling; PyData stack ...

deployed analytics architectures. Advanced modelling techniques – including integrating previous pre-trained models with simulations or other advanced modelling. Awareness of different solutions for model management that includes model building and deployment. Determines and executes model validation, reproducibility, and deployment criteria. Ability to get results fast - leveraging ...

capability, including data modelling, DAX, dashboard design, report optimisation, and clear visual storytelling. Advanced Excel skills, including Power Query, complex formulas, structured modelling, data validation, and scenario analysis. Experience building data pipelines, automated data flows, APIs, cloud‐based solutions, or AWS‐enabled automation would be highly beneficial. Experience deploying ...

requirements into analytical solutions and actionable insights. Experience creating dashboards, self-service reporting, and visualisations that support decision-making. Desirable: Experience with data governance, model management, and analytics best practices. Professional certifications in data management, analytics, business intelligence, or related disciplines (e.g. DAMA International or equivalent). This ...

governance. Highest-signal resume keywords Data Science Machine Learning Python GCP Native Tools Data Analysis ATS Optimization Keywords Hard Skills Data Analysis Customer Analytics Model Building Forecasting Segmentation Data Visualization Statistical Analysis Data Governance Performance Optimization Financial Metrics Soft Skills Intellectual Curiosity Influencing Stakeholders Collaboration Challenging Status Quo User ...

within Investment Banking or Global Markets environments. Experience testing workflow, task management or case management systems. Exposure to AI, Machine Learning or Large Language Model solutions. Experience validating AI-driven classification, routing or decision-making workflows. Experience with Oracle, Hadoop and Elasticsearch. Familiarity with observability and monitoring platforms. Knowledge ...

rolling out and leading Layout Integration and BIM methodology from concept to the delivery phase to JOB1 + 90 days. Key Performance Indicators Efficiency: Model coordination reviews completed to programme schedule. Timing: L1-L5 reviews completed to gateway timing. Delivery: BIM deliverables issued in accordance with programme requirements. Digital … standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within ...

cleared candidates Duration: 6 months initially Clearance: SC Cleared/SC Eligible Role Overview Our client is seeking a highly experienced Power System Network Model Engineer with expertise in Transmission EMS Network Modelling and Power System Applications. You will be responsible for enhancing, maintaining and validating the EMS Network … Model, ensuring accurate representation of transmission assets, network topology, connectivity, telemetry and operational equipment. The role supports critical EMS functions including Network Topology Processing, State Estimation, Load Flow Analysis, Contingency Analysis and Real-Time Operations. Key Responsibilities Develop, maintain and enhance Transmission EMS Network Models. Create and manage device ...

rolling out and leading Layout Integration and BIM methodology from concept to the delivery phase to JOB1 + 90 days. Key Performance Indicators: Efficiency: Model coordination reviews completed to programme schedule. Timing: L1–L5 reviews completed to gateway timing. Delivery: BIM deliverables issued in accordance with programme requirements. Digital … standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within ...

integrity, transformations, and large datasets across complex environments. Hands-on expertise with Azure Data Factory (ADF) and Azure DevOps, including ETL workflow testing, pipeline validation, test management, and defect tracking. Advanced SQL skills with the ability to write queries, interrogate databases, read schemas and tables, and perform data reconciliation ...

customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime Value * Customer Propensity Modelling * Customer Churn … best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science lifecycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business impact assessment. * Develop sophisticated ...

standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within … installation planning, logistics reviews, stakeholder engagement, and programme delivery activities Undertake reality capture and Scan-to-BIM activities including LiDAR scanning, point cloud processing, model validation using Navisworks, Revit and Verity As-built verification and digital record updates Contribute to lessons learned activities and continuous improvement of standards ...

bring the data perspective. You'll help ensure experiments are designed with the downstream data requirements in mind, lead the approach to modelling and validation, and ultimately help turn complex real-world scientific data into robust ML-driven products. We're particularly interested in people with experience across areas ...

they can be applied to our products Operations: Optionally contribute to our AI infrastructure to help operate self-hosted open-source models Testing & Validation: Development of tooling to assist our Test Team in conducting evals against our many provider models to ensure we are continually optimising for quality ...

growth. Combining traditional data science techniques with practical commercial application, you’ll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value. You’ll collaborate with stakeholders across Credit Risk, Operations, Finance, Collections and Technology to deliver … methodologies. Analyse customer, bureau, affordability and behavioural data to identify trends, risks and opportunities. Utilise machine learning and AI-assisted development techniques to accelerate model development and improve analytical efficiency. Produce robust model documentation, validation reports and governance materials. Work closely with Credit Risk, Operations, Transformation ...

support transaction economics, hedging considerations and business reporting requirements. Provide portfolio performance monitoring and reporting, analysing actual versus forecast performance for closed transactions. Support model governance processes, including model testing, validation and maintenance of audit-ready documentation. Drive improvements in automation, controls and efficiency through enhanced tooling ...

Design for Serviceability (DFS), and reliability engineering principles. Experience supporting supply chain, component lifecycle management, and obsolescence planning. Familiarity with hardware simulation, modelling, and validation methodologies. Experience developing common product platforms deployed across multiple product generations and product families. Equal Opportunity Employer We Are an Equal Opportunity Employer. Ralliant ...

standards, processes, and digital engineering methodologies across GME programmes. They will also be responsible for aspects of BIM development through time. Experience of federated model coordination, design review and clash detection processes. Support implementation of Common Data Environment (CDE), digital asset management and digital twin information management processes within … installation planning, logistics reviews, stakeholder engagement, and programme delivery activities Undertake reality capture and Scan-to-BIM activities including LiDAR scanning, point cloud processing, model validation using Navisworks, Revit and Verity As-built verification and digital record updates Contribute to lessons learned activities and continuous improvement of standards ...