Quantitative Researcher for Congestion Revenue Rights
🎯 WHY WE EXIST
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 that will accelerate the deployment of clean energy resources.
We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy.
🧗 WHO WE ARE
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 https://www.maverickventures.com/ and Caffeinated Capital https://caffeinatedcapital.com/, are aligned to our policy objectives and platform vision.
We have hubs in Chicago, New York City, and San Francisco.
THE ROLE
Comity is looking for a Quantitative Researcher for Congestion Revenue Rights to help us design, deploy, and operate autonomous, systematic strategies that realize economic value from congestion auctions, using our future information (forecasts) and energy systems models, under real-world market constraints. You’ll
- Build a market-leading CRR book leveraging our proprietary technologies
- Architect autonomous strategies end to end — model, forecasts, market actions
- Work end-to-end from information development to production-ready code if resources are otherwise occupied
Comity has two core teams: Power Markets and Commercial. This role is part of our Power Markets team.
WE'RE EXCITED ABOUT YOU BECAUSE:
- You have 5+ years of experience applying quantitative methods to FTRs, PTP/UTC products, and/or congestion forecasting in ERCOT.
- You have applied stochastic optimization to problems in financial or electrical engineering, operations research, or economics.
- You have conceptual fluency with probabi...