Goldman Sachs Wealth Management-New York-Associate-Quantitative Engineering 

United States, New York, New York 

444037105

Responsibilities

Areas and examples for how Private Bank Strats contribute to the success of the Private Bank include:

• 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

Basic 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 and software development position.
• 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.