Build a market-leading CRR book leveraging proprietary technologies.
Architect autonomous strategies end to end — model, forecasts, market actions.
Work end-to-end from information development to production-ready code if resources are otherwise occupied.

5+ years of experience applying quantitative methods to FTRs, PTP/UTC products, and/or congestion forecasting in ERCOT.
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.
Advanced degree in quantitative finance, computer science, statistics, machine learning, operations research, or a related quantitative field.
Experienced and comfortable developing and monitoring machine learning models.
Skilled programmer in Python.

Quantitative Researcher – Congestion Revenue Rights

Key skills