ChicagoInternshipEngineering
Remotely
pythonmachine learningetlnetworkinglatency
Job Description
📋 Description
- Perform quantitative research with large datasets to understand exchange technology.
- Design novel strategies to optimize liquidity taking and quoting strategies for exchange
- Develop AI agents, ETL pipelines and algorithms in Python to optimize ultra-low-latency trading
- Reverse‑engineer and stress‑test network and systems programming technologies.
- Collaborate with Traders and with Hardware/Software Engineers to implement ideas.
🎯 Requirements
- Current university student graduating between Sep 2027 - Jul 2028 studying CS, Engineering, or
- Proficiency in at least one programming language.
- Exceptional quantitative ability and analytical skills.
- Strong communication and collaboration, cross‑functional work across trading and engineering.
- Interest in Financial Markets; prior knowledge not required.
- Available to start internship on June 7, 2027.
🎁 Benefits
- Base Salary: USD 200,000 per year.
- Discretionary bonus and benefits including paid leave and insurance.
- Access to US Benefits information via IMC Careers.
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