Hybrid (NY, Chicago, or Bay Area) and REMOTE
Build financial rails for future energy systems using AI optimization
Comity Inc. is expanding its team with full-time quantitative research and leadership roles focused on improving energy system reliability, transparency, and efficiency. The work involves applying state-of-the-art statistical learning and convex optimization methods (AI) to build the financial infrastructure for future energy systems. Roles span monetization, portfolio optimization, congestion revenue rights, power markets, surety, growth, and...
Why This Role?
Direct contribution to building financial rails for 100% renewable energy systems
Key Responsibilities
- Apply statistical learning and convex optimization to energy market problems
- Develop AI-driven models for monetization and portfolio optimization strategies
- Research and model congestion revenue rights (CRRs) in power markets
- Analyze power market dynamics to support trading and investment decisions
- Lead growth and origination initiatives for energy financial products
- Oversee surety operations related to energy project financing
Requirements
- Expertise in statistical learning and convex optimization methods
- Experience applying AI techniques to financial or energy systems
- Strong quantitative and analytical skills
- Knowledge of power markets, energy trading, or financial instruments
- Ability to build and deploy optimization models for real-world systems
- Experience in research or development of financial infrastructure
Required Skills
Keywords
View Original Description from HN Who is Hiring
Original description from HN Who is Hiring
Comity Inc. | Hybrid (NY, Chicago, or Bay Area) and REMOTE | We are expanding our team with several full-time roles: * Quantitative Researcher for Monetization * Quantitative Researcher for Portfolio Optimization * Quantitative Researcher for Congestion Revenue Rights (CRRs) * Power Market Researcher * Surety Director * Growth Lead * Originations Lead Comity is 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. You can read the full JD and apply here: https://jobs.ashbyhq.com/comity
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