Quantitative Researcher, Power Dispatch Modeling
Overview:
We are working with a Tier 1 NYC Based Hedge Fund that is seeking a highly skilled, power focused, Quantitative Researcher to join a new Macro build out. This role will be instrumental in developing and maintaining advanced power dispatch models for ERCOT and other major U.S. ISOs. The ideal candidate will bring deep technical expertise, a strong understanding of power markets, and a collaborative mindset to help drive investment decisions.
Key Responsibilities:
- Design, implement, and maintain a robust power dispatch model for ERCOT and other U.S. ISOs.
- Enhance model architecture and input frameworks to accurately simulate grid behavior and marginal pricing.
- Continuously validate and refine the model to ensure alignment with historical data and forward-looking scenarios.
- Clearly communicate model outputs, insights, and limitations to the broader investment team.
Core Duties:
- Develop power dispatch models using Python and commercial optimization solvers.
- Partner with the Portfolio Manager to refine model inputs and structure for optimal performance.
- Ensure accurate replication of historical grid operations and pricing dynamics.
- Propose and implement improvements to reduce forecast errors and enhance scenario analysis.
- Maintain model outputs in internal databases and ensure timely updates.
- Present findings and model limitations through dashboards and team briefings.
Qualifications:
- Advanced degree (Master's or PhD) in Operations Research, Electrical Engineering, Applied Mathematics, or a related quantitative discipline.
- Minimum of 5 years of hands-on experience building SCUC/SCED models using solvers like Gurobi or CPLEX.
- Strong understanding of U.S. power markets, including plant dispatch, grid operations, ancillary services, and LMP pricing.
- Proficient in Python, Git, and SQL; experience with object-oriented programming languages is a plus.
- Familiarity with ERCOT, PJM, or CAISO market structures is highly desirable.
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