Graduate Quant & Systems Engineer for Ultra-Fast Trading

Tradermath; Chicago (IL); Hybrid; USD 180,000 - 220,000; Full time

Job summary

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

The role emphasizes quantitative research, development of AI agents, ETL pipelines, and stress-testing of systems to understand and outperform competitors in fast

Qualifications

• Pursuing degree in Computer Science or Engineering.
• Available for full-time starting Feb or Aug 2027.
• Strong quantitative and analytical skills.

Responsibilities

• Perform quantitative research with large datasets.
• Design strategies to optimize liquidity taking and quoting.
• Develop AI agents, ETL pipelines and algorithms in Python.
• Reverse-engineer and stress-test network and systems technologies.
• Collaborate with Traders and Hardware/Software Engineers.

Skills

Programming languages

Quantitative ability

Communication

Team collaboration

Machine learning

Statistics

Interest in financial markets

Education

CS/Engineering degree student

Tools

Python

Job description

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

The role emphasizes quantitative research, development of AI agents, ETL pipelines, and stress-testing of systems to understand and outperform competitors in fast