Senior Quant/Risk Professional - AI Model Validation, Python, Trade Surveillance sought by leading investment bank based in the city of London. Inside IR35 -2/3 days a week on site SummaryThis is an exciting opportunity for a highly motivated professional to join a dynamic team focused on validating trade surveillance models. The role involves ensuring that systems used to detect market abuse, insider trading, and other conduct risks are conceptually sound, explainable, and compliant with regulatory standards such as FCA and PRA SS1/23.The ideal candidate will have a strong quantitative background, hands-on programming experience in Python, and a track record of developing or validating AI/machine learning or statistical models in surveillance or conduct risk contexts.Key ResponsibilitiesIndependently validate and periodically review trade surveillance models for robustness and regulatory complianceEvaluate data quality, feature engineering, and model performance across surveillance systemsReview model documentation for conceptual soundness, implementation quality, and governance controlsConduct benchmarking, backtesting, and stress testing using Python to challenge model designAssess statistical and machine learning-based surveillance systems for transparency and effective alert thresholdsProvide quantitative and qualitative assessments of model accuracy, stability, and business suitabilityCollaborate with model developers, compliance, and surveillance teams to communicate ..... full job details .....