Quant Performance Engineer Intern - Summer 2027

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Imc Quant Performance Engineer Intern at IMC applies quantitative techniques to optimize trading technology and exchange microstructure strategies. The internship involves research, algorithm development, and collaboration with traders and engineers.

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 ETL pipelines and algorithms in Python to optimize IMC’s ultra-low-latency trading strategies
Explore novel uses of frontier LLMs to accelerate data and research tasks
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.
Current university student graduating between September 2027 - July 2028 that is pursuing a degree in Computer Science, Engineering, or a related technology field.

Qualification

Experience with statistical modelingInterest in the Financial Markets

Required

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 able to start internship on June 7, 2027

Preferred

Experience with statistical modeling, machine learning, or network technology

Benefits

paid leave
insurance

Company

Imc

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Source: greenhouse

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