Graduate Machine Learning Researcher

Imc International Bv • Chicago, IL

30d

About The Position

As a Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will leverage your superior analytical, mathematical, and computing skills to improve existing models and develop new ones. We will empower you to discover your unique niche and excel, taking on responsibility and ownership from the start. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.

Requirements

• Advanced degree such as a PhD in an applied technical field such as machine learning, computer science, computer engineering, physics, statistics or mathematics is preferred
• Direct experience in applying deep learning, or alternatively an academic track record of publications in a related domain
• Approaches data analysis with rigorous thought processes and strong intuition
• Is a creative thinker who is driven and eager to solve challenging problems collaboratively
• Proficiency in a programming language (Python, C, C++, etc) is highly desired
• Ability to commence full-time employment in February or August 2026

Responsibilities

• Develop and evaluate machine learning models tailored to real trading environments
• Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
• Design models based upon trading ideas, implement and deploy these models into production
• Maintain best practices to keep our systems logical and consistent

Benefits

• Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree