An excellent opportunity to join a growing Markets & AI Modelling team working on trade surveillance model validation projects. You’ll be responsible for validating in-house and third-party surveillance systems designed to detect market abuse, insider trading, and other conduct risks, ensuring compliance with key policy standards and regulatory frameworks. This role offers the chance to work within a forward-looking AI-focused team, applying advanced analytics and model validation techniques to high-impact surveillance systems. What you’ll be doing Validate and review trade surveillance models (machine learning, statistical, NLP). Configure and dynamically tune third-party systems for market data changes. Perform benchmarking, backtesting, and stress testing in Python. Assess model documentation, conceptual soundness, and explainability. Evaluate data quality, model governance, and regulatory compliance. Collaborate with AI Modelling, Compliance, and Risk teams to address findings. What we’re looking for Proven experience in trade surveillance model development or validation (must-have). Strong hands-on skills in Python and SQL/database querying. Familiarity with GCP Cloud (nice to have). Strong understanding of policy standards and regulatory requirements (FCA, MAR, PRA SS1/23). Excellent communication and analytical skills. No management responsibilities – this is a hands-on technical validation role.