{"id":668826,"url":"https://alion.io/job/imc-trading-quant-performance-engineer-intern-summer-2027","title":"Quant Performance Engineer Intern - Summer 2027","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":"B","score":84,"open_postings":44,"ghost_share":0,"stale_share":0.455,"repost_share":0,"time_to_fill_p50_days":108,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","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":200000,"max":null,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-08-27T21:39:39Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-21T02:59:50Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":54},"description":"Technology is at the heart of modern electronic trading. IMC is seeking highly driven interns to apply quantitative techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems.\nYour Core Responsibilities: \nPerform quantitative research with large datasets to understand exchange technology.\nDesign novel strategies to optimize IMC’s liquidity taking and quoting strategies for exchange microstructure.\nDevelop ETL pipelines and algorithms in Python to optimize IMC’s ultra-low-latency trading strategies\nExplore novel uses of frontier LLMs to accelerate data and research tasks\nReverse-engineer and stress-test network and systems programming technologies in order to understand them better than the manufacturers.\nCollaborate closely with Traders and with the Hardware and Software Engineers who will implement your ideas.\nYour Skills and Experience: \nCurrent university student graduating between September 2027 - July 2028 that is pursuing a degree in Computer Science, Engineering, or a related technology field.\nProficiency in at least one programming language is required.\nExceptional quantitative ability and analytical skills.\nHighly motivated to compete-and win-in one of the world’s most competitive markets.\nExperience with statistical modeling, machine learning, or network technology is a plus.\nStrong communication and collaboration skills, with a desire to work cross-functionally across trading and engineering teams.\nInterest in the Financial Markets; previous knowledge is NOT required\nMust be able to start internship on June 7, 2027\nYou may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.\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.\nBase Salary: $200,000\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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