Quantitative Researcher for Monetization

• Identify and prioritize market opportunities by expected value and difficulty
• Architect autonomous strategies end to end — model, forecasts, market actions
• Optimize strategy performance by leveraging metadata to augment bidding decisions
• Work end-to-end from information development to production-ready code if resources are otherwise occupied

This role helps improve the reliability, transparency, and efficiency of energy systems by designing autonomous strategies that realize economic value from forecasts and energy systems models, fostering a future with sustainable and abundant energy.

• 5+ years of design, research and development experience in industry
• Applied stochastic optimization to problems in financial or electrical engineering, operations research, or economics
• Conceptual fluency with probability theory and good taste for shaping and managing distributions
• Deep understanding of the structure of energy or other commodity or financial markets and their dynamics
• Experienced and comfortable developing and monitoring machine learning models
• Skilled programmer in Python
• Extraordinarily driven, collaborative, and predisposed to winning

No specific benefits, compensation, or perks mentioned in the posting.

Comity is on a mission to improve the reliability, transparency, and efficiency of energy systems, leveraging statistical learning and convex optimization methods to build the financial rails of future energy systems, envisioning efficient, autonomous, resilient, and 100% renewable energy systems.