Your Core Responsibilities:
- Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production
- Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability
- Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments
- Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments
- Collaborate closely with traders, researchers, and engineers to translate research into production trading systems
Your Skills and Experience:
- PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics or a related quantitative field
- Strong foundations in machine learning, probability, and statistics, with experience applying advanced ML techniques to solve challenging research or real-world problems
- Demonstrated hands-on research experience in deep learning fundamentals such as neural network architectures, sequence modeling, training dynamics, or optimization
- Proficiency in Python and modern machine learning frameworks such as PyTorch, Tensorflow, and/or JAX
- Demonstrated research excellence through publications, preprints, research internships, or significant research projects; publications at venues such as NeurIPS, ICML, ICLR, or equivalent conferences are highly preferred
- 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
Skills Required
- Advanced degree such as a PhD in machine learning, computer science, physics, statistics, or mathematics
- Direct experience applying deep learning or an academic track record of related publications
- Rigorous data analysis skills with strong statistical intuition
- Creative, collaborative problem solving and teamwork
- Proficiency in a programming language (Python, C, C++, etc.)
- Ability to commence full-time employment in February or August 2027
What We Do
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.
Why Work With Us
At IMC, the best ideas win, regardless of hierarchy. Graduates receive mentorship and make an impact from day one, while experienced hires get to shape their own path in a flexible, high-performance environment. We remove barriers so everyone can grow and help drive one of the world’s leading liquidity providers.
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IMC Trading Teams
IMC Trading Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
























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