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Comity Inc. is hiring a
Quantitative Researcher for Congestion Revenue Rights (CRRs)

About Comity Inc.

We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. We are leveraging statistical learning and convex optimization methods to build the financial rails of our future energy systems that will accelerate the deployment of clean energy resources.

Job Description

Full-time Quantitative Researcher focusing on Congestion Revenue Rights and related energy market mechanisms. Responsibilities include modeling and optimizing CRR pricing, risk, and monetization within a renewable energy framework; develop and validate predictive models, and contribute to the financial rails for energy markets. Collaborate with data science, energy trading, and engineering teams. Qualifications: strong background in statistics, optimization, energy economics, and machine learning; programming experience in Python or R; knowledge of CRRs or energy markets a plus. Note: this posting covers several roles at Comity; this is one of the Quant roles.

Remote

Remote Conditions

Remote allowed; US-based; Hybrid work with on-site presence in NY, Chicago, or Bay Area

Salary

Not Specified

Benefits

Not Specified

Tech Tags

Convex OptimizationEnergy MarketsMachine LearningPythonRSQLStatistical Learning

Date Listed

01 May, 2026 (3 months ago)
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