Associate Quantitative Strategist, Asset & Wealth Management

Overview of the Associate Quantitative Strategist, Asset & Wealth Management Role

Our quantitative strategists at Goldman Sachs are at the cutting edge of our business, solving real-world problems through diverse analytical methods. As a member of our team, you will leverage your background in mathematics, programming, and logical thinking to build quantitative models that drive business success. Your problem-solving talents and innovative aptitude will define your contributions, enabling you to find solutions to a broad range of challenges in a dynamic, fast-paced environment.

Responsibilities

As a strategist on our Private Bank team, you will collaborate closely with our global deposits and lending business, serving ultra-high-net-worth clients. You will combine quantitative techniques with industry knowledge to develop best-in-class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision-making, and enhance profitability.

• Product pricing: Streamline and improve how lenders set rates across product portfolios, utilizing financial return-on-equity models.
• Funding optimization: Design quantitative models to 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, including a rate-sensitive prepayment model for mortgage portfolio hedging and counterparty credit risk management tools.
• Scenario analysis: Build models to project the impact of various stress scenarios on the balance sheet, informing the firm’s capital adequacy under stress.

About Goldman Sachs Wealth Management

Across Wealth Management, Goldman Sachs empowers clients and customers globally to achieve 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 individuals, family offices, foundations, endowments, corporations, and their employees. Our consumer business offers digital solutions for spending, borrowing, investing, and saving. Growth in Wealth Management is driven by a relentless focus on our people, clients, and leading-edge technology, data, and design.

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 financial modeling and software development positions.
• Strong programming and mathematical skills are required.
• Creativity, problem-solving skills, and the ability to communicate complex ideas to diverse audiences.
• A self-starter with the ability to work independently and 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; and 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.

About Goldman Sachs

At Goldman Sachs, we commit our people, capital, and ideas to help our clients, shareholders, and the communities we serve grow. Founded in 1869, we are 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, ensuring every individual has opportunities for professional and personal growth through training, firmwide networks, benefits, wellness, and mindfulness programs. Goldman Sachs is an equal opportunity employer.

Salary & Benefits

The expected base salary for this New York, New York, United States-based position is $115,000-$180,000. You may also be eligible for a discretionary bonus. Goldman Sachs provides valuable and competitive benefits and wellness offerings as part of a strong overall employee experience, generally available to active, non-temporary, full-time and part-time US employees working at least 20 hours per week.

Key skills/competency

• Quantitative Modeling
• Risk Management
• Financial Analysis
• Product Pricing
• Data Optimization
• Fraud Detection
• Scenario Analysis
• SQL
• Object-Oriented Programming
• Statistical Methods