{"id":663105,"url":"https://alion.io/job/drw-quantitative-researcher-3","title":"Quantitative Researcher","company":{"id":58537,"name":"DRW","domain":"drw.com","url":"https://alion.io/company/drw","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":84,"open_postings":153,"ghost_share":0.176,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":73,"computed_at":"2026-10-16T05:45:00Z"}},"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":200000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"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":"2026-02-25T08:48:05Z","employer_posted_date":"2026-08-19","last_verified_at":"2026-10-16T23:51:39Z","board_verified":true,"closed_at":null,"days_open":233,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":232},"description":"DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.\nHeadquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.\nWe operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters-it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.\nDRW is looking for Quantitative Researchers to join our expanding Mid-Frequency Systematic Trading team in New York City.\nResponsibilities \nApply statistical and machine learning methods across diverse datasets to build trading models that capture novel signals in market behavior.\nYou will contribute across the full strategy lifecycle - from alpha research and signal generation to portfolio optimization and execution logic.\nYou will prototype new ideas, investigate strategy components, and write production-quality code to bring them to life.\nWe're a highly collaborative team that moves quickly and holds a high bar for rigor. We invest in mentorship and hands-on guidance to help you ramp up and grow.\nQualifications \n2+ years of prior work experience in statistical arbitrage or systematic trading research\nProven ability to conduct research with large, noisy real-world datasets\nStrong programming skills, with proficiency in Python for data analysis and machine learning. Experience with C++ a plus but not required\nDegree in a quantitative or technical discipline, such as statistics, computer science, physics, mathematics or economics. All levels welcome, from bachelor's to doctorate\nDeep-diving, detail-oriented thinker with a strong bias for action and ability to excel in a fast-paced environment\nAbility to own and drive open-ended problems, explore novel approaches, and communicate complex ideas clearly\nThe annual base salary range for this position is $200,000 to $300,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. 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