GBM Public, Commodities Strat, Analyst/Associate, London

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, the Commodities desk is unique in that its products 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. Furthermore, we service the broadest range of clients; not just investors, but also commodity producers and consumers, seeking innovative and bespoke risk-management and financing solutions. 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.
  

• Building algorithms and models for automated pricing and quoting of derivatives.
  

• Expand the scope of our automated pricing capabilities to new underliers/payoffs, solving idiosyncratic challenges along the way.
  

• Contribute to physical commodities and structured transactions across the business.
  

• Be involved with all stages of the software development life cycle with a range of technologies and collaborate closely with engineering teams who support the underlying infrastructure and frameworks.
  

Qualifications

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

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

• Experience in finance or a cutting-edge technology company.
  

• Excellent written and verbal communication skills.
  

• Prior experience in Commodities preferred, but not a pre-requisite.
  

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:

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