Asset & Wealth Management - Associate Quantitative Strategist in Wealth Management Strats

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.

About Goldman Sachs Wealth Management

Across Wealth Management, Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor-led wealth management businesses provide financial planning, investment management, banking, and comprehensive advice to a wide range of clients, including ultra-high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data, and design.

Basic Qualifications

• Bachelor's, Master's, or in a quantitative or engineering field, such as mathematics, physics, quantitative finance, computational finance, computer science, engineering.
• 1-3 years of experience in 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, able to work independently as well as in a team environment.

Preferred qualifications:

• Experience in utilizing statistical methods, including time-series and regression analysis; programming in object-oriented languages; manipulating data sets using relational databases and SQL.
• Experience in developing bank loan and deposit pricing models and tools/models for risk management.

About Goldman Sachs

Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York with offices worldwide. We are committed to fostering diversity and inclusion, providing opportunities for professional and personal growth, and supporting our communities. Learn more about our culture, benefits, and careers at GS/careers.

We are committed to providing reasonable accommodations for candidates with disabilities during our recruiting process. Learn more at //goldmansachs/careers/footer/

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.

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