Asset & Wealth Management - Associate Quantitative Strategist in PWM Private Bank and Risk
Our quantitative strategists are at the cutting edge of our business and solve real-world problems through a variety of analytical methods. As a member of our team, you will utilize your training in mathematics, programming, and logical thinking to build quantitative models that drive success in our business. Your problem-solving talents and aptitude for innovation will help define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Responsibilities
As a strategist on our Private Bank and Risk Strats team, you will work closely with the Goldman Sachs Private Bank, our global deposits and lending business serving ultra-high-net-worth clients. Your quantitative and software skills will be essential in developing new analytics, tools and models to help the Private Bank manage risk and optimize profitability.
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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
About Goldman Sachs PWM
Goldman Sachs Private Wealth Management (PWM) is a world-class provider of wealth management solutions for high-net-worth individuals, their families, and foundations. Our PWM advisors help clients manage their financial wealth including providing access to innovating investment ideas and opportunities, developing customized investment strategies, and offering a full array of wealth management services including liquidity and lending.
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.
Salary Range
The expected base salary for this New York, New York, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
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. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.