{"id":22453,"url":"https://alion.io/job/point72-quant-researcher-power-dispatch-modeling","title":"Quant Researcher, Power Dispatch Modeling","company":{"id":3801,"name":"Point72","domain":"point72.com","url":"https://alion.io/company/point72","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":78,"open_postings":172,"ghost_share":0.279,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":138,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stamford, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":157000,"max_usd":299000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-05-19T20:58:34Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-24T12:56:06Z","board_verified":true,"closed_at":null,"days_open":522,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":522},"description":"Role:\nThe Quant Researcher will report to a Stamford based Portfolio Manager and will focus on:\nBuilding, running, and maintaining power dispatch model for ERCOT and other major US ISOs\nDriving the model’s inputs and architecture to efficiently simulate power grid conditions and marginal pricing\nContinuously testing and improving the model, ensuring it accurately replicates historical conditions and effectively analyzes forward scenarios\nCommunicating the model’s results and limitations to the wider investment team\nResponsibilities:\nFormulate and build a power dispatch model using Python and a commercial solver\nCollaborate with the PM to optimize model inputs and architecture\nEnsure the model replicates grid operations from historical conditions\nSuggest model improvements to decrease forecast error and improve scenario handling\nRegularly run the model and maintain up-to-date outputs in an internal database\nCommunicate results and limitations to the wider investment team, including publishing results to team dashboards\nRequirements:\nMaster or PhD in operations research, electrical engineering, applied mathematics, or a related quantitative field\n5+ years of direct experience building power dispatch models (SCUC/SCED) using optimization solvers (Gurobi, CPLEX, etc.)\nKnowledge of power plant dispatch, grid operations (including capacity and AS obligations), and LMP pricing in US power markets\nExperience using SQL and timeseries databases\nProficiency in Python and Git; additional experience with an OOP language a strong plus\nDomain knowledge in ERCOT, PJM, or CAISO preferred\nAbout Point72:\nPoint72 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. 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