Quantitative Strategist, Global Banking & Markets, Power Markets Trading Desk

Who We Are

Goldman Sachs is one of the leading players in commodities markets across a wide variety of financial and physical products. We operate a fully integrated global commodities business capable of offering services to clients spanning derivatives risk management and advisory, physical trading and logistics, and structured finance products.

Within Commodities, our US Power team is responsible for utilizing modern and sophisticated quantitative techniques to enhance and further develop our derivatives market making capabilities. This includes traditional derivatives pricing and modelling, as well as automation of our quoting, hedging and risk management activities.

Who We Look For

Quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople, their invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.

Our ideal candidate will have strong a strong technical background and problem solving skills, drive to investigate and learn new ideas, and the judgement to deliver quick yet robust solutions.

How You Will Fulfill Your Potential

• Responsible for the desks' pricing, profit/loss, returns, and risk calculations for US power markets.
• Implement and extend pricing models using the firms in-house programming language and database in response to client demand, including derivative exotics, and calibrate power-specific market and volatility models under changing market dynamics, including heat rates.
• Proactively identify and quantify risks associated with the desks' positions.
• Propose risk-management strategies and structures.
• Develop robust infrastructure to enable responsive, iterative analysis.
• Identify and advocate for new business opportunities and necessary infrastructure.

Qualifications

• Advanced degree in a quantitative field such as Engineering, Computer Science, Applied Mathematics, Physics.
• Strong programming background in an object oriented language.
• Excellent written and verbal communication skills.
• Ability to work in a high-pressure environment and deliver accurate results quickly.
• Ability to solve problems and to explain the ideas that underlie them.
• Familiarity with financial modelling.