Quantitative Strategist, Global Banking & Markets, Commodities Trading - Sao Paulo / New York City

Goldman Sachs•New York, NY

6d•$150,000 - $225,000•Hybrid

About The Position

Goldman Sachs is a leading global participant in the commodities markets, active across a wide range of financial and physical products. We operate a fully integrated global business, offering comprehensive client services that span derivatives risk management and advisory, physical trading and logistics, and structured finance solutions. At Goldman Sachs, Quantitative Strategists (Strats) are at the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, their invaluable quantitative perspectives on complex financial and technical challenges directly power our commercial and business decisions. Our team is dedicated to transforming the commodities business through quantitative research and the systemization of key trading processes. We have a broad remit that includes automated quoting, optimizing hedging and portfolio risk decisions, and developing algorithms to trade derivatives on global venues. By deploying advanced statistical analysis and mathematical models, we enhance decision-making and drive business performance, working side-by-side with traditional "voice" traders and sales professionals on the trading floor.

Requirements

Excellent academic record in a highly quantitative field such as Physics, Mathematics, Statistics, Engineering, or Computer Science.
Strong programming skills in an object-oriented or functional paradigm (e.g., C++, Java, or Python).
2-4 years of experience in quantitative finance or at a cutting-edge technology company.
Self-starter with strong self-management skills, the ability to prioritize multiple tasks, and the capacity to work effectively in a high-pressure environment.
Excellent written and verbal communication skills.

Nice To Haves

Prior experience in commodities at a peer investment bank or hedge fund.
Previous quantitative or technical experience working directly on or with a derivatives trading desk (regardless of asset class).

Responsibilities

Perform systematic and quantitative analysis of franchise flows and market data to drive business decisions and inform the design of our automation platform.
Lead end-to-end structuring for commodity derivative and financing products, ensuring rigorous quantitative analysis and deepening client relationships by providing technical expertise and tailored solutions.
Contribute to a broad range of strategic initiatives and drive business expansion across Goldman Sachs’ diversified commodities franchise.
Automate the pricing of derivative products, providing fast and accurate pricing in response to client quote requests.
Implement automated hedging algorithms and build robust frameworks to manage risk centrally across a broad range of exposures.
Work closely with sales and trading to support, maintain, and enhance our automated pricing and trading systems.
Participate in all stages of the software development life cycle (SDLC) using a range of technologies, collaborating closely with engineering teams that support the underlying infrastructure and frameworks.