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Comity Inc. is hiring a
Quantitative Researcher for Portfolio Optimization

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 portfolio optimization. Responsibilities include developing optimization-based strategies for asset allocation and risk management within energy-related financial products; building models, backtesting strategies, and contributing to the optimization framework that underpins Comity’s energy finance platform. Collaborate with data science, quantitative finance, and engineering teams. Qualifications: strong background in statistics, optimization, machine learning, and financial modeling; programming experience in Python or Julia; knowledge of energy markets desirable. 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 OptimizationFinancial ModelingJuliaMachine LearningPythonSQLStatistical Learning

Date Listed

01 May, 2026 (3 months ago)
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