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 ❯
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 ❯
core systematic strategies team. Role The Quantitative Developer will collaborate with researchers to implement, test, and deploy quantitative trading strategies and risk models. Build and enhance data pipelines and backtesting frameworks for large-scale market data. Integrate new data sources and ensure data quality and reliability across research environments. Refactor and optimise existing code for performance and maintainability. Contribute to … or systematic trading environment. Strong programming expertise in Python (C++ or Java also advantageous). Excellent understanding of data structures, algorithms, and numerical computing. Experience with time-series data, backtesting, and quantitative research workflows. Familiarity with financial markets and trading systems. Strong communication skills with the ability to collaborate across research and technology teams. Exposure to low-latency or real More ❯
