Graduate Performance Engineer: Ultra-Low Latency Quant

IMC B.V.; Chicago (IL); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Discretionary bonus

Paid leave

Insurance

Job summary

IMC Trading is seeking highly driven graduates to apply quantitative techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. You will develop new strategies to outpace other market participants in ultra-low-latency trading.

You will perform quantitative research, design strategies for liquidity taking, and develop AI agents and ETL pipelines in Python to optimize trading strategies.

Qualifications

• Current university student graduating between September 2026 – July 2027 pursuing CS, Engineering, or a related technology field.
• Proficiency in at least one programming language.
• 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

Python

Quantitative ability

Analytical skills

Strong communication

Cross-functional collaboration

Education

CS/Engineering student

Tools

ETL pipelines

SQL

Job description

IMC Trading is seeking highly driven graduates to apply quantitative techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. You will develop new strategies to outpace other market participants in ultra-low-latency trading.

You will perform quantitative research, design strategies for liquidity taking, and develop AI agents and ETL pipelines in Python to optimize trading strategies.