Quantitative Strategist, Commodities Trading & Automated Pricing

Goldman Sachs Group, Inc.; Northern, New York (KY, NY); Hybrid; USD 150,000 - 225,000; Full time

Job summary

Goldman Sachs is seeking a Quantitative Strategist (Strats) in New York to solve real-world problems with quantitative methods, collaborating with traders and sales to power client solutions.

The role focuses on transforming commodities through research, automated quoting, hedging optimization, and derivatives pricing, with broad responsibilities across technology and finance.

We value strong academics, coding skills, and the ability to thrive in a fast-paced trading environment.

Qualifications

• Degree in a highly quantitative field such as Physics, Math, Statistics, Engineering, or CS.
• Strong programming skills in OO or functional languages (C++, Java, Python).
• 2–4 years of quantitative finance or tech experience.
• Self-starter with ability to manage multiple tasks in high-pressure environments.
• Excellent written and verbal communication.

Responsibilities

• Perform systematic quantitative analysis of franchise flows and market data.
• Lead end-to-end structuring for commodity derivative and financing products.
• Drive business expansion across the commodities franchise.
• Automate pricing of derivative products in response to client quotes.
• Implement automated hedging algorithms and risk frameworks.
• Collaborate with sales and trading to support pricing and trading systems.
• Participate in SDLC using a range of technologies with engineering teams.

Skills

Quantitative finance

C++/Java/Python programming

Strong communication skills

Education

Physics/Math/CS degree

Tools

C++

Java

Python

Job description

Goldman Sachs is seeking a Quantitative Strategist (Strats) in New York to solve real-world problems with quantitative methods, collaborating with traders and sales to power client solutions.

The role focuses on transforming commodities through research, automated quoting, hedging optimization, and derivatives pricing, with broad responsibilities across technology and finance.

We value strong academics, coding skills, and the ability to thrive in a fast-paced trading environment.