Low-Latency Quant Engineer Intern

IMC B.V.; Chicago (IL); On-site; USD 180,000 - 220,000; Part time

Benefits offered by this job

Bonus eligibility

Insurance

Job summary

IMC is seeking highly driven interns to apply quantitative techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. The internship offers exposure to cutting-edge research and real-time trading infrastructure in a global firm.

You will work on developing AI agents, ETL pipelines, and algorithms in Python to optimize ultra-low-latency trading strategies, while collaborating closely with Traders and engineers across the organisation.

Qualifications

• Current university student pursuing CS/Engineering or related tech field.
• Proficiency in at least one programming language.
• Exceptional quantitative ability and analytical skills.
• Highly motivated to compete in a world’s most competitive market.
• Experience with statistical modeling, ML, or network tech is a plus.

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 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 to understand them better than the manufacturers.
• Collaborate with Traders and with Hardware and Software Engineers who will implement your ideas.

Skills

Programming language

Quantitative ability

Communication & collaboration

Interest in financial markets

Internship start date

Education

CS/Engineering related degree

Job description

IMC is seeking highly driven interns to apply quantitative techniques and practical experimentation to the technology used by exchanges, connectivity providers, and our own systems. The internship offers exposure to cutting-edge research and real-time trading infrastructure in a global firm.

You will work on developing AI agents, ETL pipelines, and algorithms in Python to optimize ultra-low-latency trading strategies, while collaborating closely with Traders and engineers across the organisation.