IMC is looking to improve its global trading strategies by developing and evaluating new machine learning models and improving existing ones.
Requirements
- 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
- Proficiency in a programming language (Python, C, C++, etc) is highly desired
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
Other
- 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
- Is a creative thinker who is driven and eager to solve challenging problems collaboratively
- Ability to commence full-time employment in February or August 2026
- 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 2026.
