Quantitative Strategist, Global Banking… at Goldman Sachs · New York

Summary: Goldman Sachs is a leading global investment banking, securities and investment management firm. They are seeking a Quantitative Strategist to work within their Global Currency and Emerging Markets team, where the role involves developing quantitative techniques and models to solve complex business problems for trading desks. The position offers the opportunity to directly impact the firm's bottom line through innovative solutions and exposure to various asset classes. Responsibilities: - Conducting research and deploying machine learning models for trading - Developing and optimizing market making algorithms and systems - Pricing and hedging analysis for complex transactions - Developing and maintaining cutting-edge derivative pricing models Required Qualifications: - Advanced degree, preferably PhD, in quantitative field such Mathematics, Computer Science, Machine Learning, Physics, etc - Deep knowledge of cutting-edge machine learning models - Self-driven, quick learner, can-do attitude, results-oriented - Excellent written and verbal communication skills - Strong problem solving and analytical skills - Strong coding skills Preferred Qualifications: - 1-5 years of relevant experience is preferred Required Skills: Machine learning, Derivative pricing models, Quantitative analysis, Programming, Mathematics, Physics, Computer Science, Market making algorithms, Pricing, hedging analysis, Credit risk, Foreign exchange (FX), Interest rates Benefits: Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience.