Principal Research Scientist - Machine Learning
IMC TradingAbout the Role
This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications.
Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community.
Requirements
- PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline
- Outstanding academic credentials and a strong publication record in leading research venues
- Demonstrable interest in Financial Markets is required
- Current or recent experience in a faculty-equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist
- Deep expertise in modern machine learning and strong awareness of emerging research trends
- Experience influencing research direction, mentoring researchers, or leading research initiatives
- Strong programming skills and experience with modern machine learning frameworks
- Excellent communication skills and the ability to collaborate across disciplines
What You'll Get
- The opportunity to influence the future of machine learning at one of the world’s leading trading firms.
- Access to exceptional datasets, infrastructure and large-scale compute resources.
- Continued engagement with the academic community through conferences, collaborations and publication opportunities.
- A collaborative environment where research can move rapidly from idea to impact.