Tech Stack

Description

You'll develop, execute, and optimize congestion management strategies through CRR/FTR trading in ERCOT, CAISO, and PJM, focusing on hedging and portfolio optimization for a renewable energy platform.

Requirements

• Bachelor's degree in Engineering, Economics, Finance, or related field.
• 6-10 years of power market experience, with at least 2+ years directly in CRR, FTR, nodal, or virtual trading.
• Experience using ERCOT, CAISO, or PJM markets.
• Strong analytical, modeling, and risk management skills.
• Proficiency in Python, R, SQL, and Power BI for automation and analytics.

Responsibilities

• Develop and execute CRR, FTR, and congestion trading strategies to hedge portfolio congestion risk across ERCOT, CAISO, and PJM.
• Analyze historical and forecasted congestion patterns to identify trading opportunities in monthly and annual CRR auctions.
• Manage portfolio-level exposure to nodal price risk through CRR/FTR acquisitions, sales, and virtual positions.
• Utilize power flow and production cost modeling software (e.g., Dayzer, PROMOD) to forecast congestion and simulate transmission constraints.
• Develop portfolio risk limits, maintain risk metrics, and perform daily/weekly portfolio assessments to maximize profit opportunities and identify risks.