IMC
Quant Performance Engineer
$200K
Chicago, United States · Full-time · Posted Aug 27, 2026
- Education
- Degree in Computer Science, Engineering, or a related technology field; current university student.
About the job
Researches exchange technology and develops quantitative strategies, algorithms, and data pipelines to improve IMC’s ultra-low-latency trading.
What you'll do
- Analyze large datasets to understand exchange technology and design strategies for liquidity taking and quoting.
- Develop Python ETL pipelines and algorithms; reverse-engineer and stress-test network and systems programming technologies.
- Explore frontier LLMs for research and data tasks, collaborating with traders and engineers to implement ideas.
What they ask for
- Current university student pursuing a degree in Computer Science, Engineering, or a related technology field, graduating between September 2026 and July 2027.
- Proficiency in at least one programming language.
- Exceptional quantitative ability and analytical skills.
- Available for full-time employment starting in February or August 2027.
Nice to have
- Experience with statistical modeling, machine learning, or network technology.
- Strong communication and collaboration skills; interest in financial markets (prior knowledge not required).
Pay
$200,000 (base salary)
Tools
Python, LLMs
AI focus
Explore novel uses of frontier LLMs to accelerate data and research tasks.
Model-written summary · the original posting is authoritative