{"id":2144159,"url":"https://alion.io/job/engineersgate-com-quantitative-researcher","title":"Quantitative Researcher","company":{"id":674029,"name":"engineersgate.com","domain":"engineersgate.com","url":"https://alion.io/company/engineersgate","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","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":{"min":130000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-05T13:42:49Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-11T20:06:26Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About EG:\nEngineers Gate (EG) is a leading investment manager founded in 2014 as a quantitative, computer-driven trading firm. Today, EG operates as a diversified, multi-strategy investment platform that combines systematic research with selective discretionary approaches. \nEG's multi-manager platform allows independent investment teams to pursue distinct strategies while benefiting from shared infrastructure, risk management, and operational support. The firm’s collaborative groups of researchers, engineers, and investment professionals deploy sophisticated statistical models, proprietary technology, and a centralized data platform to isolate and solve challenging problem sets in the global financial markets. \nAbout The Role:\nWe are seekinga motivated, detail-oriented Quantitative Researcher to join a small, highly collaborative team managing a global, mid-frequency statistical arbitrage portfolio. The researcher will contribute across the full research lifecycle, from exploring alternative datasets and developing trading signals to enhancing portfolio construction, risk, and transaction cost models and implementing research in production. \nThe team places a premium on ideas motivated by an understanding of underlying economic mechanisms, combining this perspective with advanced statistical and machine learning techniques. \nKey Responsibilities:\nExplore unique alternative datasets in order to develop novel trading signals \nDevelop and enhance frameworks for portfolio construction \nUtilize state of the art machine learning and data science techniques to improve stock level insights \nEnhance the team's array of risk and transaction cost models \nWrite robust and production quality code \nManage the full pipeline of research projects from idea generation to implementation \nQualifications:\nAcademic background in Mathematics, Physics, Computer Science, Engineering or a related field \nA history of continuous and self-directed learning \nStrong mathematical and modeling skills (proficiency in optimization theory is preferred) \nProficiency in coding (Python, C++ preferred) \nMaster's or PhD in any quantitative field is a plus, but not required. \n2-5 years of working experience in quantitative research in equities/futures \nExcellent attention to detail, strong written/verbal communication \nThe base salary for this role is anticipated to be $130,000-$200,000, excluding potential bonuses, additional comp compensation, and benefits. 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