We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. To accomplish our aims, we’re leveraging state of the art statistical learning and convex optimization methods (AI) to build the financial rails of our future energy systems.
We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy.
Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience in complex systems, machine learning and structured finance. Our world-class investors, Maverick Ventures and Caffeinated Capital, are aligned to our policy objectives and platform vision.
We have hubs in Chicago, New York City, and San Francisco.
Comity is looking for a Power Market Researcher to design, build, and scale analytical, forecasting, and optimization models applied to U.S. power markets. In this role, you will:
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.
As an early hire in this role, you will have broad impact and ownership over our analytical models, research workflows, and how markets insights are translated into decision-making across the company.
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.
Most Importantly:
You take ownership of your work, are comfortable forming and explaining your views, and can move forward effectively under ambiguity.
You are a lifelong learner who works well in open, collaborative environments and value constructive criticism.
We have hubs in Chicago, New York City, and San Francisco.
At Comity, we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Our priority is to ensure that all applicants are provided with fair and equal access to employment opportunities. Recruiting and hiring decisions are made without regard to race, color, religion, sex, national origin, age, disability, or any other class protected by law.
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