Location
London

Hours
Full Time

Salary
Negotiable

About the Role
At Goldman Sachs, quantitative strategists are at the forefront of our business, solving real-world problems through advanced analytical methods. Working closely with traders and sales teams, strats provide invaluable quantitative insights on complex financial and technical challenges that drive our business decisions. Within our Global Banking & Markets business, Commodities Strats operate on trading floors, delivering value to both internal and external clients through cutting-edge models, predictive analytics, and high-quality trading tools.

Our team is dynamic and entrepreneurial, passionate about the markets, and thrives in fast-paced, evolving environments energized by the activity of a bustling trading floor. The Commodities desk is unique, centered on products influenced by environmental factors, scientific research, geopolitics, and global supply chains, all of which impact markets daily with rapid progress.

We serve a broad range of clients, including investors, commodity producers, and consumers, offering innovative and bespoke risk-management and financing solutions. This role offers an invaluable opportunity to sharpen your skills and build a deep and broad foundation of product knowledge.

Responsibilities include developing and maintaining derivatives pricing models across multiple sub-asset classes such as Gas & Power, Oil Products, and Metals; building algorithms and models for automated pricing and quoting of derivatives; expanding automated pricing capabilities to new underliers and payoffs; contributing to physical commodities and structured transactions; and participating in all stages of the software development life cycle. Collaboration with engineering teams supporting infrastructure and frameworks is also key.

Experience
Experience in object-oriented programming with languages such as C++, Java, or Python. Prior experience in finance or a cutting-edge technology company is preferred. Experience in Commodities is advantageous but not required.

About you
Strong quantitative, programming, and communication skills with a keen interest in applying these skills to financial markets. Ability to thrive in a fast-paced, collaborative environment and solve complex problems with innovative solutions.

Qualifications
Excellent academic record in a relevant quantitative field such as Physics, Mathematics, Engineering, or Computer Science. Excellent written and verbal communication skills.