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.
