Quantitative AI/ML Engineer – Trading & Risk

About the role

Develop, validate, and productionize machine-learning models for trading behavior, execution quality, exposure forecasting, and risk analysis using financial and trading data. Deploy and monitor models with appropriate validation, explainability, and change controls, and communicate their results and limitations to Quantitative, Dealing, and Risk teams. Requires at least four years of experience in quantitative research, applied machine learning, or financial data science, along with strong Python, SQL, statistical, optimization, and time-series skills and experience implementing production models. Candidates should understand leveraged or comparable electronic markets, demonstrate robust out-of-sample validation and leakage prevention, and hold a degree in a quantitative discipline; postgraduate study is advantageous.