Quant Researcher, Power Dispatch Modeling

Stamford, CTfull timeOn Site

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Point72 Quant Researcher focused on building and maintaining power dispatch models for ERCOT and other major US ISOs. Responsible for driving model inputs, testing accuracy, and communicating results to the 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

Qualification

Master or PhD in operations researchKnowledge of power plant dispatchProficiency in Python and GitDomain knowledge in ERCOT

Required

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
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.