Develop, evaluate, and deploy machine learning models for real trading environments; apply rigorous statistical techniques to measure performance, control overfitting, and assess model risk and interpretability; collaborate with traders and developers; maintain best practices and production-ready systems.
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.
Your Core Responsibilities:
Your Skills and Experience:
You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. 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. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $300,000
Your Core 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
Your Skills and Experience:
- 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 2027
You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in 2027.
The Base Salary range for the role is included below. 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. Please visit Benefits - US | IMC Trading for more comprehensive information.
Base Salary: $300,000
IMC Trading Chicago, Illinois, USA Office
IMC Chicago opened its doors in 2000, becoming our first overseas office. It now hosts more than 650 employees, making it the largest IMC location. Home to the Chicago Mercantile Exchange (CME) and the Chicago Board Options Exchange (CBOE), the city is at the centre of the global market.
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