Quantitative Researcher - Power Dispatch Modeling
A leading Tier-1 Hedge Fund is seeking a Quantitative Researcher to support its energy-focused portfolio management team. This role centers on building and maintaining power dispatch models to simulate grid operations and inform investment decisions in U.S. electricity markets.
Key Responsibilities
- Develop and maintain power dispatch models for major U.S. ISOs, including ERCOT, PJM, and CAISO
- Design model architecture and inputs to simulate grid conditions and marginal pricing efficiently.
- Validate model accuracy against historical data and enhance its ability to analyze forward-looking scenarios.
- Communicate model outputs, assumptions, and limitations to the broader investment team.
- Maintain up-to-date model outputs in internal databases and dashboards.
Technical Scope
- Build in-house dispatch models using Python and commercial optimization solvers (e.g., Gurobi, CPLEX).
- Collaborate with portfolio managers to refine model structure and improve forecasting accuracy.
- Apply domain knowledge of grid operations, including SCUC/SCED, LMP pricing, and ancillary services.
- Utilize SQL and time-series databases to manage and analyze large datasets.
- Contribute to internal tools and dashboards for sharing model insights.
Qualifications
- Master's or PhD in Operations Research, Electrical Engineering, Applied Mathematics, or a related quantitative discipline.
- 5+ years of experience developing power dispatch models using optimization solvers.
- Strong understanding of U.S. power markets, particularly ERCOT, PJM, or CAISO.
- Proficiency in Python and Git; experience with object-oriented programming is a plus.
- Familiarity with power plant dispatch, grid operations, and market pricing mechanisms.
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