Asset & Wealth Management-Quantitative… at Goldman Sachs · New York

Summary: Goldman Sachs is a leading global investment banking, securities and investment management firm headquartered in New York. They are seeking an Associate Quantitative Strategist to work within their Wealth Management Strats team, focusing on building quantitative models that drive success in their business and streamline risk management for ultra-high-net-worth clients. Responsibilities: - Product pricing: Streamline and improve how lenders set rates across its portfolio of products, using financial return-on-equity models - Funding optimization: Design quantitative models to help understand and realize the value of the bank’s non-maturity deposits business for internal funding - Risk Management: Develop quantitative models and tools to manage the private bank’s risk, such as developing a rate-sensitive prepayment model to improve hedging of the bank’s mortgage portfolio and develop tools for counterparty credit risk management - Scenario analysis: Build models to project the impact of various stress scenarios on the balance sheet and protect the bank by informing the firm’s capital adequacy under stress Required Qualifications: - Bachelor, Masters or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering - 1-3 years of experience in the job offered or related quantitative financial modeling and software development positions - Programming and mathematical skills are required - Creativity, problem-solving skills, and ability to communicate complex ideas to a variety of audiences - A self-starter, should have ability to work independently as well as thrive in a team environment Preferred Qualifications: - Previous work experience in: Utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages for efficient model implementations; manipulating data sets using relational databases and SQL - Previous work experience in: Developing bank loan and deposit pricing models and tools/models for risk management Required Skills: Mathematics, Programming, Quantitative financial modeling, Software development, Statistical methods, Time-series analysis, Regression analysis, Object-oriented programming, Relational databases, SQL, Bank loan pricing models, Deposit pricing models, Risk management models Benefits: Discretionary bonus, Valuable and competitive benefits and wellness offerings