Quantitative Researcher for Congestion Revenue Rights

We're a mission-driven company aiming to improve energy systems' reliability, transparency, and efficiency. We're looking for a Quantitative Researcher to help design, deploy, and operate autonomous strategies for congestion revenue rights. The role involves applying quantitative methods to build a market-leading CRR book and architecting strategies end to end.

Requirements

• 5+ years of experience applying quantitative methods to FTRs, PTP/UTC products, and/or congestion forecasting in ERCOT
• Experience with stochastic optimization in financial or electrical engineering, operations research, or economics
• Advanced degree in quantitative finance, computer science, statistics, machine learning, operations research, or a related quantitative field
• Experience with developing and monitoring machine learning models
• Skilled programmer in Python

Benefits

• Competitive salary
• Generous paid time off
• 401k matching
• Retirement plan
• Health insurance
• Stock options