Quant Researcher, Power Dispatch Modeling

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About this role

Quant Researcher, Power Dispatch Modeling Stamford/New York Role: The Quant Researcher will report to a Stamford based Portfolio Manager and will focus on: - Building, running, and maintaining power dispatch model for ERCOT and other major US ISOs - Driving the model's inputs and architecture to efficiently simulate power grid conditions and marginal pricing - Continuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios - Communicating the model's results and limitations to the wider investment team Responsibilities: - Formulate and build a power dispatch model using Python and a commercial solver - Collaborate with the PM to optimize model inputs and architecture - Ensure the model replicates grid operations from historical conditions - Suggest model improvements to decrease forecast error and improve scenario handling - Regularly run the model and maintain up-to-date outputs in an internal database - Communicate results and limitations to the wider investment team, including publishing results to team dashboards Requirements: - Master or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field - 5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.) - Knowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets - Experience using SQL and timeseries databases - Proficiency in Python and Git; additional experience with an OOP language a strong plus - Domain knowledge in ERCOT, PJM, or CAISO preferred About Point72: Point72 is

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