Quant Performance Engineer

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. The Quant Performance Engineer will apply quantitative techniques and practical experimentation to exchange technology and trading systems, developing strategies, AI agents, ETL pipelines, and algorithms while collaborating with traders and hardware and software engineers.

What you'll do:

• 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

What they're looking for:

• Current university student graduating between September 2026 – July 2027 that is pursuing a degree in Computer Science, Engineering, or a related technology field
• 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
• 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
• Experience with statistical modeling, machine learning, or network technology is a plus

Benefits:

• All full-time, permanent positions are eligible for a discretionary bonus
• All full-time, permanent positions are eligible for benefits, including paid leave and insurance