{"id":22423,"url":"https://alion.io/job/point72-fund-flow-quantitative-researcher","title":"Fund Flow Quantitative Researcher","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":167,"ghost_share":0.287,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":139,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":167000,"max_usd":364000,"period":"year","method":"role_country_seniority_unknown","sample_n":3718},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Python","optional":false}],"status":"closed","first_seen_at":"2026-01-23T20:21:21Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-29T18:25:25Z","board_verified":false,"closed_at":"2026-10-29T18:25:25Z","days_open":278,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":278},"description":"Role: \nPoint72 is looking for a Quantitative Researcher to join its Fund Flow Research team. The Fund Flow Group provides best in class flow and positioning indicators to help PMs, analysts, and traders across all investment functions understand their investment backdrop, better assess reward and risk, and identify alpha opportunities.\nResponsibilities:\nCreate systematic trading strategies for macro and equity markets using proprietary flow and positioning datasets\nConduct rigorous applied research to develop systematic signals for macro and equity markets, with a focus on investor flows and positioning\nContribute to all aspects of the research and production process, including idea generation, hypothesis testing, portfolio construction, risk and transaction cost models, and P&L attribution\nMonitor, analyze and improve live trading P&L\nCollaborate with analysts and strategists to improve PM-facing content\nRequirements:\nUndergraduate, Master’s or PhD candidates in a technical field\nDemonstrated creativity and rigor in the research process\nTechnically comfortable handling large datasets stored in AWS using Python\nCollaborative mindset\nPassion for research and financial markets\nIntellectual curiosity, exceptional attention to detail, and the ability to manage multiple projects and deadlines in a fast-paced environment\nCommitment to the highest ethical standards","description_format":"text","description_chars":1380,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Venture Capital","Hedge Funds & Alternative Investments"],"lifecycle":[{"event":"open","at":"2026-01-23T20:21:21Z"},{"event":"close","at":"2026-10-29T18:25:25Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 83 · green card filings: 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