Quant Researcher, Power Dispatch Modeling

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