Performance Engineer Intern - Low-Latency Trading & AI

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

Job summary

IMC Trading seeks a highly driven intern to apply quantitative techniques and practical experimentation to our trading technology in Chicago. You will perform quantitative research on large datasets, design strategies to optimize liquidity taking and quoting, and develop AI agents and pipelines in Python for ultra-low-latency trading.

You will collaborate with Traders and with Hardware and Software Engineers while reverse-engineering networking and systems technologies.

Qualifications

• Currently enrolled in CS/Engineering, graduating 2027–2028.
• Proficiency in at least one programming language.
• Strong quantitative and analytical abilities.
• Willingness to start internship on June 7, 2027.
• Interest in financial markets; prior knowledge not required.

Responsibilities

• Perform quantitative research with large datasets to understand exchange technology.
• Design strategies to optimize liquidity taking and quoting for exchange microstructure.
• Develop AI agents, ETL pipelines, and algorithms in Python for ultra-low-latency trading.
• Reverse-engineer and stress-test network and systems programming technologies.
• Collaborate with Traders and with Hardware and Software Engineers.

Skills

Programming

Quantitative skills

Analytical thinking

Communication

Team collaboration

Education

Current university student in CS/Engineering

Tools

Python

Job description

IMC Trading seeks a highly driven intern to apply quantitative techniques and practical experimentation to our trading technology in Chicago. You will perform quantitative research on large datasets, design strategies to optimize liquidity taking and quoting, and develop AI agents and pipelines in Python for ultra-low-latency trading.

You will collaborate with Traders and with Hardware and Software Engineers while reverse-engineering networking and systems technologies.