Quantitative Researcher for Portfolio Optimization

About the role

Comity is looking for a Quantitative Researcher for Portfolio Optimization to lead portfolio management of our power trading strategies. In this role, you will: Develop information systems to manage Comity's strategy of strategies - systematic allocation decisions of our market-specific autonomous trading systems. Design the acceptance criteria for new strategies. Collaborate with risk managers on risk measures and quantitative risk modeling Work closely with our software and quantitative research engineers, who are focused on bringing new assets to market, and our finance team, which is responsible for our business outcome As an early hire in this role, you will have broad impact and ownership over our portfolio design, research agenda, technology choices, and team culture. We're excited about you because: You've held P&L responsibilities as a quantitative portfolio manager You have deep knowledge of applied math, probability, statistics, and numerical algorithms You have knowledge of optimization techniques in finance You are a strong coder with experience in Python You have a graduate degree in mathematics, statistics, machine learning, computer science, physics, or a related quantitative modeling field You are adept at communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences You are a lifelong learner and empathetic teacher. We're committed to the growth and development of our teammates. We work towards a shared understanding by listening with intent and holding open discussions because we know that's how we'll deliver quality results

Requirements

• You have experience in U.S. wholesale electricity markets
• Location
• We have hubs in Chicago, New York City, and San Francisco.

Benefits

Additional Information

🎯 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. 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 and Caffeinated Capital , are aligned to our policy objectives and platform vision. We have hubs in Chicago, New York City, and San Francisco.

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Company Intel

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