Commodity Risk Manager - Financial Transmission Rights

We are looking for an outstanding Commodity Risk Manager based in Houston, New York or Greenwich to join our Commodities Risk Management team reporting to the Co-Head of Commodity Risk. The position offers the opportunity for an employee to build a world-class global commodity business by providing management with a reliable and inclusive view of overall commodity risk. The individual will be instrumental in the set up and growth of the FTR business. As a partner to the commodity business, the candidate must engage, challenge, and support the commodity desks.

The commodity business unit is one of the newest and fastest growing profit centers at BAM, rapidly onboarding new markets and staff around the globe to grow financial and physical trading capabilities.

Responsibilities Include

• Develop advanced framework for quantifying and monitoring FTR risk
• Approve bid files and bidding strategies before submission to periodic ISO FTR auctions
• Understand FTR desk’s risks and sources of P&L. Be able to articulate and communicate to management in a concise narrative manner.
• Plan, scale, and execute risk capabilities to enable the growth of the commodity business, including the development and configuration of new risk systems and developing Python code and tools for the Risk library
• Brief other risk managers outside commodities proactively on commodity specific risks and apply insights from other risk managers to commodity risk
• Communicate risks to management in a concise, fair, and effective manner
• Demonstrate a hands-on attitude to performing all commodity risk tasks
• Onboard new commodities markets and products and create appropriate risk frameworks

Requirements

• Minimum 8 years of commodities risk management experience in Commodities markets, including FTRs and US Power
• Deep experience with proprietary FTR trading
• Understand physical power markets, including some knowledge of grid topology and ISO congestion calculation methodologies.
• Proficient in Python, SQL, and Excel. Must be familiar with numeric libraries such as pandas and numpy in addition to data visualization packages.
• Strong knowledge of risk and performance metrics including VaR and stress test methodologies
• Quantitative educational background, such as physical sciences, math, engineering, statistics, economics, or finance.

Nice to Have

• Have set up risk management systems and frameworks for a greenfield physical trading operation
• Experience in additional commodities markets, such as: Oil, Gas, Power Products, NGL’s Grains, Softs, and/or Metals
• Financial or risk certifications such as CFA, FRM, ERP, PRM, etc.
• Power systems and grid background