Quant Researcher, Power Dispatch Modeling
At a glance
Mid-level Data Science role at Point72. Stamford/New York · full-time · no salary stated · we estimate $115,300–$175,500 across the United States.
Point72 has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Develop a power dispatch model in Python with a commercial solver for ERCOT and other major U.S. grid markets
- Work with the portfolio manager to shape model inputs and design for grid conditions and marginal pricing
- Compare simulated grid operations with historical conditions, then reduce forecast errors and improve forward scenarios
- Run the model regularly, refresh its internal database outputs, and publish results on team dashboards
- Present findings and explain model limits to colleagues across the investment team
What you bring
- A master’s or PhD in operations research, electrical engineering, applied mathematics or a related quantitative discipline
- At least five years building SCUC or SCED dispatch models for power markets with optimization solvers such as Gurobi or CPLEX
- Knowledge of U.S. plant dispatch, grid operations including capacity and ancillary services obligations, and LMP pricing
- Experience with SQL and time-series databases, along with Python and Git proficiency
Who this fits
This mid-level research role suits someone with substantial hands-on experience building and testing power dispatch models. You’ll report to a portfolio manager based in Stamford.
From the employer
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.
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