Graduate Quant Performance Engineer (Aug 2026)

IMC seeks driven graduates to apply quantitative techniques and develop ultra-low-latency trading strategies in a cutting-edge technology environment.

Your Role

Key responsibilities include:

• 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 ultra-low-latency trading strategies.
• Reverse-engineer and stress-test network and systems programming technologies to gain a deep understanding.
• Collaborate closely with Traders and Hardware and Software Engineers to implement ideas.

About You

The company is looking for:

• Current university student graduating between September 2025 and July 2026 in Computer Science, Engineering, or a related technology field.
• Proficiency in at least one programming language.
• Highly motivated to compete and succeed in a competitive market.
• 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 Financial Markets; previous knowledge is not required.
• Availability for full-time employment starting August 2026.

Compensation & Benefits

• Base salary: $200,000.
• Eligibility for discretionary bonus.
• Benefits include paid leave and insurance.

How to Apply

• Submit your application according to the company's guidelines, ensuring that all required information is included.
• You may submit one application per role each year, focusing on the role that best matches your skills and interests.
• Multiple applications are allowed, but evaluated separately.
• Reapplication is permitted in the next recruitment season if not selected.

This job may close before the stated closing date, you are encouraged to apply as soon as possible.

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