Power Market Researcher

• Build, test, and maintain forecasting model pipelines and portfolio optimization programs that help improve financial performance in power markets.
• Analyze market outcomes and system constraints to improve model accuracy and performance.
• Track and interpret market dynamics, including supply, demand, congestion patterns, and price formation, to inform commercial and strategic decisions.
• Apply statistical, optimization, and (as needed) machine learning methods to identify and evaluate market opportunities.

This role contributes to improving the reliability, transparency, and efficiency of energy systems, fostering a future with sustainable and abundant energy by leveraging AI and optimization methods to build the financial rails of future energy systems.

• Solid understanding of U.S. power markets and hands-on experience with at least one RTO/ISO (e.g., CAISO, PJM, ERCOT, MISO, NYISO, ISO-NE, SPP).
• Proven experience formulating and solving optimization problems (e.g., LP, MILP, convex optimization) and strong foundation in power systems concepts (generation, transmission constraints, congestion, LMP formation).
• Strong Python skills for building and analyzing quantitative models, and experience with power flow and market simulation tools (Dayzer, Promod, PowerWorld, PSS/E, Plexos, or open-source alternatives).
• Bachelor’s degree in a quantitative field (e.g., electrical engineering, operations research, economics, applied mathematics, physics) and 3+ years of experience in power market analysis or a related role.

No specific benefits, compensation, or perks mentioned in the posting.

Comity is on a mission to improve the reliability, transparency, and efficiency of energy systems, fostering a future with sustainable and abundant energy by leveraging AI and optimization methods to build the financial rails of future energy systems.