Quantitative Researcher for Monetization

About the Company

Comity is on a mission to improve the reliability, transparency, and efficiency of energy systems, leveraging state-of-the-art statistical learning and convex optimization to build the financial rails of future energy systems. Our founders are Stanford alumni with experience in complex systems, machine learning, and structured finance.

Responsibilities

• Identify and prioritize market opportunities by expected value and difficulty
• Architect autonomous strategies end-to-end, including models, forecasts, and market actions
• Optimize strategy performance by leveraging metadata to augment bidding decisions
• Work end-to-end from information development to production-ready code

Requirements

• 5+ years of design, research, and development experience in industry
• Experience applying stochastic optimization to financial/electrical engineering, operations research, or economics
• Conceptual fluency with probability theory and managing distributions
• Deep understanding of energy, commodity, or financial market structures and dynamics
• Experience developing and monitoring machine learning models
• Skilled programmer in Python