Quantitative Analyst - Resources and Financing Optimization

About the role

Conduct quantitative research on funding optimization and inventory management, including collateral optimization, prime assets re-hypothecation, short-covering automation, and liquidity risk monitoring. Develop and support C# and Python applications, perform advanced analysis for trading desks, and collaborate with Trading, Sales, IT, Market Risk, and global Research teams. A graduate degree in mathematics or engineering and strong analytical and algorithmic abilities are sought; knowledge of finance is a major plus. Candidates should have strong Python or object-oriented programming experience, effective communication skills, a collaborative and delivery-focused approach, and ideally familiarity with stock loan and funding; at least two years of experience is specified.