Job
Description
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 team, you will work closely with the Risk Managers, 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. You will combine quantitative techniques and industry knowledge to build best in class models and tools that streamline risk management, detect fraud at scale, enable optimized data-driven business decision making, and optimize profitability. Areas and examples for how strategists 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 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. Across Wealth Management, 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, Masters, or Ph.D. in a quantitative or engineering field, e.g. mathematics, physics, quantitative finance, computational finance, computer science, engineering 3+ years of experience in the job offered or related quantitative financial modelling 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
