Quant Performance Engineer Intern - Summer 2027

IMC•Chicago, IL

About The Position

IMC is seeking a driven intern to apply quantitative techniques and practical experimentation to technology used by exchanges, connectivity providers, and IMC’s own systems. The intern will conduct quantitative research on exchange technology, develop approaches to optimize liquidity-taking and quoting strategies, and build Python ETL pipelines and algorithms for ultra-low-latency trading strategies. The role also explores frontier LLM applications for data and research tasks and reverse-engineers and stress-tests network and systems programming technologies. The intern will collaborate with traders and hardware and software engineers who implement their ideas.

Requirements

Be a current university student pursuing a degree in Computer Science, Engineering, or a related technology field, with graduation expected between September 2027 and July 2028.
Proficiency in at least one programming language.
Exceptional quantitative ability and analytical skills.
High motivation to compete and win in a highly competitive market.
Strong communication and collaboration skills, with a desire to work cross-functionally across trading and engineering teams.
Interest in financial markets; previous knowledge is not required.
Must be able to start the internship on June 7, 2027.

Nice To Haves

Experience with statistical modeling, machine learning, or network technology.

Responsibilities

Perform quantitative research with large datasets to understand exchange technology.
Design strategies to optimize IMC’s liquidity-taking and quoting strategies for exchange microstructure.
Develop ETL pipelines and algorithms in Python to optimize ultra-low-latency trading strategies.
Explore uses of frontier LLMs to accelerate data and research tasks.
Reverse-engineer and stress-test network and systems programming technologies.
Collaborate with traders and with hardware and software engineers who will implement ideas.