imc · Chicago, United States
Skills: Python
Technology is at the heart of modern electronic trading. IMC is seeking highly driven graduates to apply quantitative techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. You will develop new strategies to outpace other market participants in the highly competitive world of ultra-low-latency trading. Your Core 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. Your Skills and Experience: 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. 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 available for full-time employment starting in February or August 2027 You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each ap…
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