Quantitative Researcher for Portfolio Optimization

Comity • New York, NY

1d • Onsite

About The Position

Comity is on a mission to improve the reliability, transparency, and efficiency of energy systems, fostering a future with sustainable and abundant energy. They leverage state-of-the-art statistical learning and convex optimization methods (AI) to build the financial rails of future energy systems, envisioning systems that are efficient, autonomous, resilient, and powered by 100% renewable energy. The company's founders are Stanford alumni with experience from Apple, Bluevine, Affirm, Square, and Google, specializing in complex systems, machine learning, and structured finance. Their investors include Maverick Ventures and Caffeinated Capital. Comity is seeking a Quantitative Researcher for Portfolio Optimization to lead portfolio management of their power trading strategies. As an early hire, this role offers broad impact and ownership over portfolio design, research agenda, technology choices, and team culture.

Requirements

• 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

Nice To Haves

• You have experience in U.S. wholesale electricity markets

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior