{"id":951750,"url":"https://alion.io/job/squarepoint-senior-quant-researcher-intraday-statistical-arbitrage","title":"Senior Quant Researcher - Intraday Statistical Arbitrage","company":{"id":684807,"name":"Squarepoint Capital","domain":"squarepoint-capital.com","url":"https://alion.io/company/squarepoint-capital","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"C","score":61,"open_postings":73,"ghost_share":0.644,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-11-01T06:10:25Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":210000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-16T01:23:59Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-11-01T13:34:03Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":46},"description":"Position Overview:\nResearch and implement strategies within the firm’s automated trading framework.\nAnalyze large data sets using advanced statistical methods to identify trading opportunities.\nDevelop a strong understanding of market structure of various exchanges and asset classes.\nTypical Day of Quant Researcher: \nPrimary focus throughout the day is on researching and implementing trading ideas.\nBefore market open, check that all required data and related processes are ready for the trading day.\nDuring market hours, sporadically monitor behavior and performance of strategies.\nRequired Qualifications: \nQuantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.\nProgramming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).\nStrong communication skills and ability to work well with colleagues across multiple regions.\nAbility to work well under pressure.\nThe minimum base salary for this role is $150,000 if located in New York. 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