{"id":668715,"url":"https://alion.io/job/imc-trading-systematic-index-options-trader","title":"Systematic Index Options Trader","company":{"id":54502,"name":"IMC Trading","domain":"imc.com","url":"https://alion.io/company/imc-trading","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":139,"ghost_share":0.158,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":95,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":250000,"max":250000,"currency":"USD","period":"year","gross":null,"usd_annual":250000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-06-01T17:59:17Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-11-03T07:30:27Z","board_verified":true,"closed_at":null,"days_open":154,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":154},"description":"We are looking for an Index Options Low-Latency Execution Quantitative Trader to join our team. IMC's Index Options desk is one of the leading electronic liquidity providers in index options markets. Our execution team is responsible for getting IMC into the trades we want to participate in, across a range of mechanisms. Our ultra-low latency infrastructure is best-in-class, and because IMC is highly collaborative between traders, quant researchers, and developers, the scope of this role spans deep trade analysis, execution system improvement, and early ownership of a defined part of the strategy.\nYour Core Responsibilities:\nDrive revenue in low-latency index options trading by building upon and improving our electronic execution systems\nDeliver high-quality analysis using a variety of datasets, including options pricing, trades data, and exchange feed\nDive into specific trade examples to understand the behavior of our systems and those of our competitors, identify anomalies, and quantify opportunities\nUse backtesting and analysis tools to predict the impact of changes to our execution systems and continuously improve our performance\nWork collaboratively with traders, quant researchers, and developers to bring ideas from inception to production\nTake early ownership of a defined area of the strategy, for example a certain exchange or execution type, and grow into setting multi-month improvement plans\nYour Skills and Experience:\n2+ years of experience in low-latency index options execution, including liquidity providing and taking\nStrong understanding of exchange microstructure and how automated trading systems interact with exchanges\nEntrepreneurial mindset with a competitive nature, strong ownership mentality, and a bias toward action\nAbility to perform efficient analysis on large datasets in Python\nPreference for relevant tertiary qualifications (graduate or post-graduate) in a quantitative field: mathematics, computer science, statistics, or similar, with strong academic results\nStrong communicator, able to collaborate effectively across trading, research, and development teams\nThe Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.\nSalary Range\n$250,000—$250,000 USD\nAbout Us\nIMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. 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