1 to 25 of 48 Model Validation Jobs in the UK

drives everything we do and one we're proud of. And you can play your part too join our dedicated Risk team as our Model Validation Specialist. How you'll make a difference You will perform independent model validation reviews and oversight of the Society … they are conceptually sound, appropriately implemented, and are compliant with internal policies and external regulations. In addition, the role will support with the independent validation of other financial models performed within the team, as required. What will you bring to the role? Knowledge and experience of using Python ...

designing and implementing AI-driven solutions, with a focus on document intelligence, automation, and scalable AI workflows. Aligned to an outcome-based delivery model, the role ensures AI capabilities are production-ready, validated, and integrated into enterprise systems to deliver measurable business value. Responsibilities: Design and build AI-driven … data governance, and security standards. Build and optimise AI pipelines for extraction, transformation, and validation. Ensure accuracy, quality, and performance of AI outputs. Implement validation frameworks and tracking for AI model performance. Deploy AI services through secure APIs into production environments. Embed QA and governance practices into ...

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 ...

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 ...

make an impact. Job Responsibilities Develop mathematical models for the valuation of credit derivatives, structured lending facilities, and illiquid collateral Implement methodologies for model calibration and build analytics to manage model risk appetite Leverage machine learning, AI, and data analytics to enhance valuation methodologies and drive innovation Define … methodology for pricing adjustments, model limitations, parameter uncertainty, and liquidity reserves Monitor model performance metrics to ensure models behave as expected over time Design and develop software frameworks for analytics delivery to systems and applications Collaborate with front office trading desks, controllers, and model risk teams ...

Proven track record building predictive models in regulated financial services environments. Credit risk modelling experience, including PD models, scorecards or similar. Strong understanding of model governance, validation and audit requirements. Experience with GDPR and AI governance frameworks. Key responsibilities Build and deploy predictive and credit risk models. Lead … exploratory data analysis, feature engineering, model validation and monitoring. Develop forecasting, simulation and stress-testing models. Work with data engineering teams to create modelling-ready datasets using Snowflake. Ensure models and processes meet regulatory and governance standards. Collaborate closely with product and business stakeholders to deliver data-driven ...

Model Developer (Contract) London, Outside IR35 This contract offers the chance to own end-to-end model delivery within a lean analytics function, working on business-critical modelling initiatives with real production impact. You will join a small, highly capable team where autonomy, technical depth, and clear delivery … engaged in the outcomes of the work. The Role and Deliverables Design, develop, and enhance statistical and predictive models using SAS across the full model development lifecycle. Build modelling datasets, feature engineering processes, and variable transformations. Develop model logic, segmentation rules, scoring code, and scenario analysis. Carry ...

team performance. Manage the full modelling lifecycle , ensuring best practices in data science, statistical rigour and engineering are applied from data collection through to model validation, automation and delivery to the end users. Undertake research projects that address critical football questions, delivering novel insights that shape club strategy … data science, statistical modelling, and machine learning techniques. Expert understanding of statistical programming languages , especially Python and/or R, for data analysis and model development. Proficient in SQL development and knowledgeable about database and data warehousing technologies. Experienced with cloud-based computing environments, ideally GCP, demonstrating proficiency ...

design and architecture of actuarial, reinsurance and valuation solutions across the remit of M&P function. This role ensures that all model and system changes are designed holistically across methodology, models, systems, data, processes and reporting, delivering solutions that are robust, scalable, efficient and aligned with both business strategy … guidance during implementation to ensure design intent is realized 4. Architecture & Standards • Define and maintain actuarial architecture principles and standards. Drive consistency across: o Model design o Data structures and flows o System integrations o Reporting frameworks • Promote best practices in automation, modular design and scalability 5. Governance, Risk ...

that drive data-driven decision-making. Key Responsibilities Design, develop, and maintain Anaplan models to support business planning processes Translate business requirements into technical model designs and optimal Anaplan architecture Build and optimise modules, lists, dashboards (UX pages), actions, and integrations Ensure model performance, scalability, and best practice … adherence (e.g., DISCO methodology) Develop data integration processes between Anaplan and external systems (e.g., SAP, Workday, Snowflake) Perform model testing, troubleshooting, and validation Support model deployments, releases, and ongoing enhancements Collaborate with stakeholders to gather requirements and provide solution recommendations Maintain clear documentation of models, processes ...

design principles, including accessible colour selection and charting best practices. Benefits Full benefits package, including travel perks, generous time‐off, parental leave, flexible work model, and career development resources. Equal Employment Opportunity Expedia Group is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants ...

structured ML outputs with LLM-based reasoning to deliver explainable scores Work closely with stakeholders to translate credit policy into data-driven workflows Support model validation, explainability, and performance evaluation Requirements Strong experience as a Senior Quant Data Scientist Deep understanding of: Regression, classification, and ranking models Time ...

deliver measurable business impact. Design and enhance margin and derivative models, including methodology selection, calibration, numerical schemes, benchmarking/backtesting, documentation, and alignment with model risk governance. Serve as model owner: manage roadmaps, controls, monitoring/alerts, change management, and responses to Model Risk, Audit, and regulatory … reviews; ensure explainability and transparency of assumptions, limitations, and model performance. Build and productionize analytics that advance intraday/EoD automation (services, APIs, pipelines) with clear SLOs/SLA, observability, reliability engineering practices, and tight integration into trading/risk platforms. Provide technical leadership and mentorship; conduct code/ ...

timing risk, and other key cost drivers. Leverage AI and machine learning tools across the development lifecycle, from accelerating research and prototyping to enhancing model validation, code review, and continuous performance monitoring in production. Develop and maintain client‐specific algorithm customizations, respond to BAU and analytics requests … execution impact. Build and back‐test models on tick‐level and order‐level data; translate findings into production components with measurable performance improvements. Model internal and external liquidity sources to optimize algo interaction across the full liquidity landscape. Production Engineering & Delivery Write clean, efficient, production‐quality code where latency ...

years of experience in propulsion system development or a similarly demanding engineering environment. Strong expertise in propulsion system modelling, static and transient analysis, and model validation Equivalent modelling software Experience supporting full product development lifecycles, including requirements definition, detailed design, qualification, production, and acceptance testing. Strong understanding ...

explain complex analysis clearly. Support modelling tasks such as clustering, segmentation, site scoring, similarity matching and offer-fit analysis. Help validate results, sense-check model outputs and explain to a non technical audience Contribute reusable code and documentation that reduces manual rework on future projects. Collaborate with colleagues through ...

models Exposure to governed, production-focused data environments Technical Skills: Advanced SQL KPI/metric design and governance Data modelling (dimensional/semantic) Data validation and quality assurance Understanding of data lineage and traceability Familiarity with BI tools (Power BI, Tableau, etc.) Python (desirable, not essential) What Makes ...

deliver measurable business impact. Design and enhance margin and derivative models, including methodology selection, calibration, numerical schemes, benchmarking/backtesting, documentation, and alignment with model risk governance. Serve as model owner: manage roadmaps, controls, monitoring/alerts, change management, and responses to Model Risk, Audit, and regulatory … reviews; ensure explainability and transparency of assumptions, limitations, and model performance. Build and productionize analytics that advance intraday/EoD automation (services, APIs, pipelines) with clear SLOs/SLA, observability, reliability engineering practices, and tight integration into trading/risk platforms. Provide technical leadership and mentorship; conduct code/ ...

with production stability. Engineering & AI Execution Lead cross‐functional teams across engineering, data science, and ML engineering. Establish best practices for AI development, including model validation, monitoring, and retraining. Drive adoption of modern engineering standards (CI/CD, DevOps, automated testing). Ensure seamless collaboration between data, product … regulations and AI governance standards. Establish frameworks for ethical AI use, explainability, and bias mitigation. Partner with Legal and Compliance on data usage and model accountability. Maintain robust security practices across data and infrastructure layers. Leadership & Collaboration Build and scale high‐performing teams in engineering, AI, and data. ...

platforms (Google CXAS/CES, Genesys, NICE, Amazon Connect) Experience in multi-agent orchestration/agentic frameworks Familiarity with AI governance, risk management, and model validation frameworks Certifications Google Cloud Professional Architect (Mandatory/Preferred) Google Professional Machine Learning Engineer Certifications in Conversational AI platforms (Google CES, Dialogflow ...

building resilient, high-performing AI systems AI Governance & Risk Drive responsible and ethical AI adoption through robust governance frameworks Oversee AI lifecycle management, including model validation, monitoring, and risk controls Ensure compliance with regulatory standards and third-party vendor requirements Collaboration & Enablement Work closely with engineering, data ...

rapidly evolving industry. SCOPE OF THE ROLE In this role as a Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with ...

rapidly evolving industry. SCOPE OF THE ROLE In this role as a Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with ...

clustering, regression, predictive analytics) with ability to take problems from framing through to deployment-ready outputs Must be strong in data exploration, feature engineering, model evaluation, and communicating insights clearly to non-technical stakeholders ideally within demand-led public services (predictive demand, prevention, triage/segmentation). Needs working ...

support to help members to develop their domain expertise. The System Architect is responsible for defining the solution and system architecture (including models, decisions, validation, evolution and delivery support), working with the customer and any subcontractors to identify, trade-off and design the overall architecture. Architects assist with ...