Tech Stack

Description

You will design, build, and scale analytical, forecasting, and optimization models applied to U.S. power markets to improve financial performance and inform strategic decisions. This role offers broad impact and ownership over analytical models and research workflows in an early-stage environment.

Requirements

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

Responsibilities

• 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.