Quant jobs / Point72

Quant Researcher, Power Dispatch Modeling

A modelling role supporting a Stamford portfolio manager trading US power markets. You would build the dispatch model that simulates grid conditions and marginal prices.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Build a power dispatch model in Python using an optimisation solver
Tune model inputs and structure to reproduce historical grid behaviour
Cut forecast error and improve scenario analysis
Run the model regularly and keep outputs in an internal database
Present results and limits to the investment team

What they ask for

Required

Master's or PhD in operations research, electrical engineering or applied maths
5+ years building dispatch models (SCUC/SCED)
Solver experience (Gurobi, CPLEX)
Power markets: dispatch, grid operations, LMP pricing
SQL and time-series databases
Python and Git

Preferred

Object-oriented language
ERCOT, PJM or CAISO knowledge

Education: Master's or PhD in operations research, electrical engineering, applied maths or a related quantitative field.
Experience: 5+ years building power dispatch models with optimisation solvers.
Languages and tools: Python
SQL
Git
Markets: commodities

How to prepare

Formulate a small unit commitment problem as a mixed-integer program
Study locational marginal pricing and how ISO markets clear
Solve it in Python with an open-source or commercial solver
Compare model output to public ERCOT price data

What to study

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Apply

Read the full posting on Point72’s site before applying: requirements, location and pay can change after we check them.

View the posting on Point72’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Point72 and doesn’t handle applications.