Quantitative Desk Strategist - Analyst/Associate

Quantitative Desk Strategist - Analyst/Associate at Goldman Sachs

In Global Banking and Markets, we empower our clients to navigate financial markets, facilitating the buying and selling of financial products, raising capital, and managing risk. Our fundamental principle centers on fostering robust client relationships and delivering exceptional service.

The strategist team at Goldman Sachs leverages quantitative and statistical methodologies to inform data-driven decisions. We operate at the convergence of our industry-leading business and advanced engineering solutions, optimizing operations to achieve efficiency, commercial value, robust risk management, and premier client services. This dynamic environment demands innovative and strategic thinking, leading to immediate, practical solutions.

The Security Lending Strategist Team

Our global team of strategists plays a pivotal role in driving significant business decisions within securities lending and financing. This is achieved through comprehensive analysis of extensive datasets and the development of sophisticated quantitative models. Key areas of focus include inventory modeling and management, strategies for borrowing and returning securities, locate services, pricing and revenue optimization, risk hedging and optimization, and capital and funding attribution and optimization.

Despite being organized across various locations, we pride ourselves on our collaborative teamwork across global teams to devise solutions that enable our business to thrive worldwide. Our team members bring a rich tapestry of quantitative, academic, and cultural backgrounds, a diversity that is instrumental in generating innovative solutions for our intricate business challenges.

If you are seeking an entrepreneurial position that allows you to fully utilize your strong quantitative, engineering, and communication skills to tackle complex real-world problems, then our team offers an ideal opportunity for you.

Skills & Experience We Are Looking For

• Strong academic background in a quantitative field such as mathematics, physics, engineering, computer science, or statistics.
• Strong programming skills in a modern programming language (e.g., Python, JavaScript).
• Strong modeling skillsets with a solid understanding of optimization theory (e.g., linear programming, numerical methods, MCMC).
• Interest in data engineering and relevant infrastructure buildout, including data pipeline and database design.
• Ability and willingness to acquire new business or technical knowledge.
• Ability to manage multiple projects, demonstrate initiative, and deliver results efficiently.
• Strong communication skills, with the ability to drive outcomes within multi-constrained and ambiguous business contexts.
• Ability to solve complex technical problems and effectively explain the underlying concepts to a non-technical audience.
• Knowledge of financial markets is preferred.
• Understanding of securities lending and one-delta products is a plus.

About Goldman Sachs

At Goldman Sachs, we dedicate our people, capital, and ideas to foster growth for our clients, shareholders, and the communities we serve. Established in 1869, we are a leading global investment banking, securities, and investment management firm, headquartered in New York with offices globally.

We firmly believe that who you are enhances what you do. We are committed to nurturing and advancing diversity and inclusion within our workplace and beyond. We ensure every individual at our firm has numerous opportunities for professional and personal growth, spanning training and development, firmwide networks, comprehensive benefits, wellness programs, personal finance offerings, and mindfulness initiatives. Discover more about our culture, benefits, and people at GS.com/careers.

Goldman Sachs is dedicated to providing reasonable accommodations for candidates with special needs or disabilities throughout our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

Key skills/competency

• Quantitative Analysis
• Financial Modeling
• Python Programming
• JavaScript Development
• Optimization Theory
• Data Engineering
• Risk Management
• Securities Lending
• Statistical Analysis
• Problem Solving