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 a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth.
