Description
The Quantitative Risk Analyst will develop and maintain Python risk models, optimize statistical algorithms, analyze large datasets with SQL, apply statistical techniques, perform stress testing, and create risk mitigation strategies. The role collaborates with cross-functional teams and the trading desk to support risk assessment and decision-making. Candidates should have 3–5 years of relevant experience, strong Python and object-oriented programming knowledge, a bachelor’s or master’s degree in a quantitative or related field, and strong analytical, communication, and teamwork skills.
