2 of 2 Contract Trade Surveillance Jobs in the UK

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** Summary This is an exciting opportunity for a highly motivated professional to join a dynamic team focused on validating trade surveillance models. The role … 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 Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance … across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and More ❯

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** Summary This is an exciting opportunity for a highly motivated professional to join a dynamic team focused on validating trade surveillance models. The role … 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 Responsibilities Independently validate and periodically review trade surveillance models for robustness and regulatory compliance Evaluate data quality, feature engineering, and model performance … across surveillance systems Review model documentation for conceptual soundness, implementation quality, and governance controls Conduct benchmarking, backtesting, and stress testing using Python to challenge model design Assess statistical and machine learning-based surveillance systems for transparency and effective alert thresholds Provide quantitative and qualitative assessments of model accuracy, stability, and business suitability Collaborate with model developers, compliance, and More ❯