Graduate Quant & Systems Engineer for Ultra-Low Latency Trading

ittihad medical centre; Chicago (IL); On-site; USD 170,000 - 230,000; Full time

Job summary

IMC Trading seeks highly driven graduates to apply quantitative techniques and practical experimentation to ultralow-latency trading technologies. You will develop new strategies, AI agents, and ETL pipelines, collaborating with Traders and Engineers to outpace market participants.

Ideal candidates are CS/Engineering students graduating 2026–2027 with strong programming and quantitative skills, willing to start full-time in 2027 in a highly competitive financial environment.

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

Statistics / ML

Communication

Team collaboration

Finance interest

Education

CS/Engineering student

Tools

Python

Job description

IMC Trading seeks highly driven graduates to apply quantitative techniques and practical experimentation to ultralow-latency trading technologies. You will develop new strategies, AI agents, and ETL pipelines, collaborating with Traders and Engineers to outpace market participants.

Ideal candidates are CS/Engineering students graduating 2026–2027 with strong programming and quantitative skills, willing to start full-time in 2027 in a highly competitive financial environment.