About the role#
IMC is looking for graduates to apply quantitative techniques and experimentation to the technology used by exchanges and connectivity providers. You will work to outpace other market participants in the field of ultra-low-latency trading.
What you'll do#
- Perform quantitative research with large datasets to understand exchange technology.
- Design strategies to optimize liquidity-taking and quoting for exchange microstructure.
- Develop ETL pipelines and algorithms in Python to optimize 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, hardware engineers, and software engineers to implement your ideas.
What you'll need#
- Current university student graduating between September 2026 and July 2027.
- Pursuing a degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Proficiency in at least one programming language.
- Exceptional quantitative ability and analytical skills.
- Strong communication skills and a desire to work cross-functionally.
- Interest in financial markets (previous knowledge is not required).
- Highly motivated to compete in a competitive market.
- Experience with statistical modeling, machine learning, or network technology is a plus.
Location & details#
- Location: Chicago, Illinois, United States.
- Work modality: On-site.
- Availability: Must be available for full-time employment starting in February or August 2027.
- This is a paid position.
About IMC Trading
IMC Trading is a global firm focused on market making and technology driven trading. It provides liquidity to financial markets across the United States, Europe, and the Asia Pacific region. The company employs over 3,000 people and maintains offices in cities including Amsterdam, Sydney, Chicago, and London. It operates as a privately held organization.
How to get in at IMC Trading
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