Jobs / United States / POINT72 Lp

POINT72 Lp

Quant Researcher, Power Dispatch Modeling

Stamford/New York Posted 1 month ago

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Skills this job asks for

PythonSQLGit

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordUSCIS Data Hub records 16 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
USCIS Data Hub records 16 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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About the role

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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