Quantitative Strategist, Global Banking & Markets, Commodities Trading

Goldman Sachs

Quick summary

Work type: On-site
Location: New York, NY
Salary: $150,000–$300,000 / yr
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $183k

This role $225k

$123k most similar roles pay here $319k

This role pays more than 81% of similar roles. Most pay $144,743–$220,900 — the shaded band above. At the midpoint, this role pays about $225k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

Most-posted roles

View all roles at Goldman Sachs

At a glance

TL;DR · Quantitative Strategist, Global Banking & Markets, Commodities Trading

Role Posting Log in to save

As a Senior Quantitative Strategist at Goldman Sachs, you will join a dynamic team dedicated to transforming the commodities business through quantitative research and automation. Your day-to-day responsibilities include performing systematic data analysis to drive business decisions, leading end-to-end structuring for commodity derivative products, and automating pricing and hedging algorithms. You will collaborate closely with sales and trading teams to enhance automated systems and manage risk across various exposures. The role requires strong programming skills in languages like Python or Java, experience in quantitative finance, and a background in physics, mathematics, or engineering. This position offers the opportunity to work on cutting-edge projects that directly impact business performance within a fast-paced, innovative environment at one of the world’s leading financial institutions.

Skills

Python Java C++ AWS Kubernetes Docker CI/CD SQL PostgreSQL Linux Git Jenkins Prometheus Grafana

What you'll do

Perform systematic analysis of market data to drive business decisions and design automation platforms.
Lead end-to-end structuring for commodity derivative products, providing technical expertise and tailored solutions.
Automate pricing of derivative products in response to client quote requests efficiently.
Implement automated hedging algorithms to manage risk across various exposures centrally.
Contribute to strategic initiatives for business expansion within the commodities franchise.
Participate in all stages of software development life cycle using a range of technologies.

What we're looking for

Excellent academic background in a quantitative field such as Physics, Mathematics, Statistics, Engineering, or Computer Science.
5+ years of experience in quantitative finance or at a cutting-edge technology company.
Strong programming skills in C++, Java, or Python.
Experience in commodities trading or derivatives at an investment bank or hedge fund.
Ability to automate pricing and risk management systems for derivative products.
Collaborative work style with strong communication skills.

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