Graduate Performance Engineer - Ultra-Low Latency Trading

IMC Trading; Chicago (IL); On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Discretionary bonus

Paid leave

Insurance

Job summary

IMC Trading seeks highly driven graduates to apply quantitative techniques and practical experimentation to our ultra-low-latency trading systems in Chicago. You will develop strategies to outpace market participants, collaborate with traders and engineers, and work on AI agents, ETL pipelines, and network tech.

Applicants should be CS/Engineering students graduating between 2026 and 2027, with programming proficiency and strong quantitative skills.

Qualifications

• Current university student graduating between September 2026 – July 2027 that is pursuing a degree in Computer Science, Engineering, or a related technology field.
• Proficiency in at least one programming language is required.
• Exceptional quantitative ability and analytical skills.
• Highly motivated to compete—and win—in one of the world’s most competitive markets.
• Experience with statistical modeling, machine learning, or network technology is a plus.
• Strong communication and collaboration skills, with a desire to work cross-functionally across trading and engineering teams.
• Interest in the Financial Markets; previous knowledge is NOT required
• Must be available for full-time employment starting in February or August 2027

Responsibilities

• Perform quantitative research with large datasets to understand exchange technology.
• Design novel strategies to optimize IMC’s liquidity taking and quoting strategies for exchange microstructure.
• Develop AI agents, ETL pipelines and algorithms in Python to optimize IMC’s ultra-low-latency trading strategies.
• Reverse-engineer and stress-test network and systems programming technologies in order to understand them better than the manufacturers.
• Collaborate closely with Traders and with the Hardware and Software Engineers who will implement your ideas.

Skills

Programming

Quantitative ability

Analytical thinking

Communication

Education

CS/Engineering degree in progress

Job description

IMC Trading seeks highly driven graduates to apply quantitative techniques and practical experimentation to our ultra-low-latency trading systems in Chicago. You will develop strategies to outpace market participants, collaborate with traders and engineers, and work on AI agents, ETL pipelines, and network tech.

Applicants should be CS/Engineering students graduating between 2026 and 2027, with programming proficiency and strong quantitative skills.