GBM Public, FICCS Commodities Strats, Associate/Vice President, London

Goldman Sachs
London +1 more
On-site

Who this role is best for

Candidates with industry-specific knowledge in commodities and strong programming skills will find this dynamic, collaborative role in London offers immediate commercial impact through model development and client solutions.

Best fit for

  • Individuals with a background in quantitative fields and a passion for commodities markets
    — “Excellent academic record in a relevant quantitative field such as Physics, Mathematics, Engineering or Computer Science.”
  • Those with experience in derivatives pricing and object-oriented programming languages like Python or C++
    — “Experience in object-oriented programming with a language such as Python or C++.”
  • Candidates who thrive in fast-paced, high-impact trading environments and can contribute to multiple product areas
    — “We are a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments.”

Things to consider

  • The role demands direct commercial impact and collaboration with traders and sales teams
    — “Your work will directly impact the firm's bottom line.”
  • Candidates should be prepared to engage with both internal teams and external clients on a regular basis
    — “Collaborate with Sales, Trading and Structuring teams to develop innovative risk-management solutions for clients.”

How to stand out

  • Highlight experience in creating pricing models for physical commodities or structured finance
    — “Contribute to physical commodity and commodity-backed structured finance transactions across the business.”
  • Emphasize your ability to work across multiple sub-asset classes in commodities
    — “Develop and maintain derivatives pricing models across multiple sub-asset classes.”
  • Demonstrate a track record of building predictive analytics and trading tools for financial applications
    — “provide value for both internal & external clients through cutting-edge models, predictive analytics, and high-quality trading tools.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • develop and maintain derivatives pricing models
  • collaborate with Sales, Trading and Structuring teams to develop innovative risk-management solutions
  • contribute to physical commodity and commodity-backed structured finance transactions
  • coordinate with different teams within the firm on projects to expand the business into new products and jurisdictions
Typical background
strong quantitative, programming, and communication skillsexperience in commodity marketssound understanding of option pricing models

Skills & requirements

Required

Derivatives Pricing ModelsOption Pricing ModelsObject-oriented ProgrammingCommunication SkillsQuantitative AcumenRisk ManagementTrading ToolsPricing Model ProductHedging StrategiesSoftware Development Lifecycle

Preferred

Commodity MarketsPhysical Commodity TransactionsCommodity-backed Structured FinanceReal-time Systems For RiskMarket DataAutomated Quoting

Stack & domain

Derivatives Pricing ModelsOption Pricing ModelsObject-oriented ProgrammingPythonC++CommunicationQuantitative AcumenProblem SolvingFinanceCommodities

About the role

Original posting from Goldman Sachs

What We Do

At Goldman Sachs, quantitative strategists are the cutting edge of our businesses, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and sales, strats' invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.

Within our Global Banking & Markets business, Commodities Strats sit on trading floors and provide value for both internal & external clients through cutting-edge models, predictive analytics, and high-quality trading tools. We are a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor.

While all trading desks at GS require strong quantitative skills, Commodities are at the centre of a changing world, where the environment, broader scientific R&D, geopolitics and global supply lines impact markets daily, and the pace of progress is rapid. This role will be an invaluable opportunity to sharpen all your skills and build a deep & broad foundation of product knowledge.

Who We Look For

We're looking for candidates with strong quantitative, programming, and communication skills with a keen interest applying those skills in the financial markets. As a desk strat on our Commodities trading desk, you’ll have the opportunity to apply your quantitative acumen towards solving complex problems and creating innovative solutions for our clients. 

Your work will directly impact the firm's bottom line. Whether it’s developing automatic pricing algorithms to help our trading desks make better decisions or building a pricing model product that will help clients hedge risk, you'll create an immediate commercial impact for the firm.

Responsibilities

Develop and maintain derivatives pricing models across multiple sub-asset classes, e.g. Gas & Power, Oil Products, Metals. The breadth of commodity markets means that we are constantly expanding and improving our models.

Collaborate with Sales, Trading and Structuring teams to develop innovative risk-management solutions for clients. As a strat you will leverage option modelling knowledge to price bespoke client deals, while advising trading on hedging strategies.

Contribute to physical commodity and commodity-backed structured finance transactions across the business.

Be involved with all stages of the software development lifecycle. and collaborate closely with engineering teams who support real-time systems for risk (greeks), P&L attribution, market data, and automated quoting.

Coordinate with different teams within the firm on projects to expand the business into new products and jurisdictions.

Qualifications

Experience in commodity markets.

Sound understanding of option pricing models.

Experience in object-oriented programming with a language such as Python or C++.

Excellent written and verbal communication skills.

Excellent academic record in a relevant quantitative field such as Physics, Mathematics, Engineering or Computer Science.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Source: Goldman Sachs careers

Similar roles