10 of 10 Contract Model Validation Jobs in London

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 ...

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 ...

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 ...

mathematical formulation and numerical implementation to performance optimisation and direct contribution to live analytics and trading systems. What You Will Do End-to-End Model Ownership: Independently design, implement, and validate pricing and risk models for complex and exotic OTC derivatives (from math formulation to production rollout). Core ...

structured and semi structured datasets Deploying models into production using containerised environments Working closely with stakeholders to translate business challenges into analytical solutions Supporting model monitoring, optimisation and drift detection Core Skills and Experience Strong Python experience including pandas, NumPy and scikit learn for modelling and data manipulation Advanced … trend evaluation Excellent exploratory data analysis skills Desirable Experience Knowledge of ensemble and rank aggregation techniques such as Robust Rank Fusion Experience with model explainability tools such as SHAP or LIME Exposure to model monitoring frameworks and drift detection Background in regulatory, risk or financial crime related projects ...

learning models and advanced analytics solutions * Partner with senior stakeholders to identify opportunities where data science can drive commercial impact * Establish best practices for model development, validation, and governance * Deliver measurable outcomes through scalable data science solutions and clear reporting of impact Your Skills & Experience * Strong experience leading ...

metric definitions, data cuts, hypotheses, guardrails, and acceptance criteria. Work with ML teams on AI-driven pricing tools by helping define business requirements, validate model outputs, identify commercial edge cases, and translate recommendations into practical business actions. Help define and interpret success measures, including revenue impact, adoption, customer response … requirement drafting, documentation, and stakeholder communication. Experience working with ML, data science, or advanced analytics teams on AI-driven pricing tools, pricing recommendation engines, model-led decisioning, or similar commercial analytics products. Ability to translate data into practical business recommendations, not just produce analysis. Ability to define analytical requirements ...

premise, and hybrid environments , ensuring scalability, resilience, and security-by-design. Design and support AI and machine learning architecture , including MLOps delivery frameworks , model lifecycle considerations, governance, and deployment patterns. Provide expertise around Large Language Models (LLMs) and Generative AI , including infrastructure considerations, integration approaches, data boundaries, context management … complex enterprise environments. Strong experience designing AI-enabled or research-focused technology platforms . Demonstrable exposure to Machine Learning Operations (MLOps) including deployment models, validation, governance, and operational processes. Experience with Large Language Models (LLMs)/Generative AI , with an understanding of infrastructure and architectural considerations. Strong cloud architecture ...