About the role

Aplyr's Quick Take

This role is for a Quant Researcher focused on building and maintaining power dispatch models for US electricity markets. You'll be using Python and optimization solvers to simulate grid conditions and pricing, while also communicating findings to the investment team. It's primarily an individual contributor role with a strong emphasis on technical skills.

Good fit

Ideal candidates have a Master's or PhD in a quantitative field and at least 5 years of experience in power dispatch modeling. A collaborative mindset and strong programming skills, particularly in Python, are essential for success.

Worth noting

The role requires specialized knowledge of US power markets and grid operations, which may limit the applicant pool. The position is based in Stamford or New York, which could be a consideration for location preferences.

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.

Skills & Tags

python ai ios data

Aplyr's read

Point72 is a global asset management firm known for its multi-strategy investing and rigorous analyst programs, attracting driven professionals in finance and technology.
Synthesized from recent postings & public sources

What's promising

•Point72's multi-strategy approach offers diverse investment exposure and learning opportunities.
•The firm invests heavily in technology, providing cutting-edge tools for employees.
•Point72 Academy programs are renowned for developing top-tier investment professionals.

What to watch

•The firm's high-performance culture may lead to intense work pressure.
•Regulatory scrutiny is a constant concern due to past controversies.
•Limited public information about work-life balance and employee satisfaction.

Why Point72

•Point72 manages the personal capital of founder Steven A. Cohen.
•The firm combines traditional and quantitative strategies in its investment approach.
•Point72 offers specialized roles in macro technology and quantitative analysis.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Point72

Point72

point72.com

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Point72 Asset Management is a global asset management firm that manages the capital of its founder, Steven A. Cohen, and certain employees. The firm employs a multi-strategy approach to investing, focusing on long/short equity, macroeconomic trends, and quantitative strategies.