10 of 10 Model Validation Jobs in Central London

uncover trends, patterns, and business drivers Translate insights into clear, compelling narratives and visualisations Identify opportunities to apply AI across products and services Model Development Design, build, and validate machine learning models Develop modelling inputs for AI pipelines and platforms Implement robust evaluation methods (A/B testing, causal ...

ensure our tools and platforms remain cutting‐edge. Champion AI tools and solutions through AI governance committees for approval, demonstrating compliance with security standards, model validation requirements, and regulatory guidelines to ensure safe release into production. Monitor and maintain compliance of deployed AI tools through regular security audits ...

risk and valuation frameworks and industry best practices Lead project teams, mentor and supervise junior team members, ensure high-quality deliveries and adhere to model governance upmost standards Support content generation and business development initiatives, including identifying new opportunities and developing proposals Your competences Technical: Post-graduate degree … maths from a top tier university Minimum of 8-12 years of relevant experience in quantitative modelling and derivatives pricing across Front Office, Model validation or Risk functions within financial services Solid background in stochastic calculus and data science including AI/ML techniques Experience with flow ...

models Strong Python + SQL (R also useful) for analysis, modelling, and repeatable data workflows Good grounding in actuarial principles (rating, loss cost, segmentation, validation) Experience with claims analysis and linking claims/risk insights back to pricing actions Comfortable working cross-functionally in a fast-moving environment Able ...

Managers, SMEs, and QA to translate business processes into agentic workflows and iterate based on feedback Contribute to the automation of testing, deployment, and validation pipelines for AI agents Maintain thorough documentation of agent behavior, design decisions, and integration logic for operational readiness and knowledge transfer Preferred Qualifications Bachelor … resilience Experience with business process automation or workflow automation in real-world environments Comfortable working with SQL/NoSQL databases , including data modeling and validation Knowledge of containerization (Docker), orchestration platforms (Kubernetes), and deployment to cloud platforms (Azure, AWS, or GCP) Understanding of security concepts including authentication (OAuth2), authorization ...

GenAI use cases with business leaders Define architectures for AI-enabled solutions across data, applications, and workflows Provide hands-on technical leadership in prototyping, model integration, and validation Establish best practices for embedding AI/GenAI into development workflows Build reusable AI patterns and accelerators for enterprise adoption … Align with data teams on readiness, governance, and model performance Support frameworks for evaluating and deploying AI responsibly at scale Required Skills 10–15+ years in software/data engineering or related technical roles 5+ years in AI/ML, with recent GenAI/LLM exposure Proven track record ...

Define solution architectures for AI-driven capabilities across data, applications, and workflows • Provide hands-on technical leadership (~30–40%) in areas such as prototyping, model integration, and solution validation • Guide teams on best practices for leveraging AI/GenAI tools within existing development workflows • Support the development … scalable, reusable AI patterns and accelerators • Collaborate with data teams to ensure strong alignment on data readiness, governance, and model performance • Help establish practical frameworks for evaluating and deploying AI use cases in a controlled and scalable manner Required Experience • 10–15+ years of experience in software engineering, data ...

lead the architecture and development of next-generation intelligent systems. This is not a traditional modelling role. Instead of focusing on a single predictive model, you’ll be designing and scaling systems of models that can: • Search and retrieve relevant information • Analyse complex financial data • Generate outputs such … reports and credit memos • Validate, verify, and improve model outputs in production As a Staff ML Engineer, you’ll take ownership of designing and optimising these systems by combining: • Large Language Models (LLMs) • Classical machine learning • Rule-based systems • Workflow orchestration/agentic architectures What you’ll be doing ...

As data consultant, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing ...

Senior Design & Estimation Consultant | ICT & Data Centre Infrastructure £75-85k + Bens London We're seeking an experienced Senior Design & Estimation Consultant to take a leading role across a portfolio of strategic and key ...