Senior Quant/Risk Professional - Machine Learning, Surveillance
London, South East, England, United Kingdom
Harvey Nash
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 More ❯
Employment Type: Contractor
Rate: £800 - £1,000 per day
Posted: