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Programme
Graduate
Location
Chicago, IL
About the role
Join IMC as a Graduate Performance Engineer to apply quantitative techniques and develop ultra-low-latency trading strategies using AI and programming. Collaborate with traders and engineers in a competitive electronic trading environment.
Core Responsibilities
- Perform quantitative research on large datasets to analyze exchange technology.
- Design strategies to optimize liquidity taking and quoting for exchange microstructure.
- Develop AI agents, ETL pipelines, and algorithms in Python for trading optimization.
- Reverse-engineer and stress-test network and systems programming technologies.
- Collaborate with traders and hardware/software engineers to implement ideas.
Skills and Experience
- Current student graduating between Sep 2026 and Jul 2027 in Computer Science, Engineering, or related field.
- Proficient in at least one programming language.
- Strong quantitative and analytical skills.
- Motivated to compete in a highly competitive market.
- Experience with statistical modeling, machine learning, or network technology is a plus.
- Strong communication and collaboration skills across trading and engineering teams.
Additional Requirements
- Interest in financial markets; prior knowledge not required.
- Available for full-time employment starting February or August 2027.
- One application per role per year; reapplication allowed next recruitment season if not selected.
Compensation and Benefits
- Base salary: $200,000.
- Eligible for discretionary bonus and benefits including paid leave and insurance.
- More benefits information available on IMC's careers website.