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Programme
Internship
Location
Amsterdam · Chicago, IL
Duration
10-12 weeks
About the role
This 10-12 week Machine Learning Research Internship offers hands-on experience developing ML models and analyzing large datasets to support IMC's trading strategies. Interns receive mentorship, training, and networking opportunities in a fast-paced, collaborative environment.
Role Overview
- Apply machine learning to real-world trading problems in equities, futures, and options markets.
- Work alongside experienced researchers to develop models and analyze large-scale datasets.
- Design experiments and evaluate novel approaches in a collaborative environment.
- Gain classroom and on-desk training in quantitative trading concepts.
- Opportunity for high-performing interns to be considered for full-time roles.
Core Responsibilities
- Conduct research to design and apply original machine learning algorithms.
- Analyze large datasets and develop predictive models for market problems.
- Develop research skills through project work, mentorship, and feedback.
- Enhance understanding of options theory, market making, and related topics through instruction.
Skills and Experience
- Pursuing a PhD in ML, CS, EE, Math, Stats, Physics, or related quantitative field.
- Strong foundations in ML, probability, and statistics with advanced ML application experience.
- Hands-on research in deep learning fundamentals like neural networks and optimization.
- Proficiency in Python and ML frameworks such as PyTorch, Tensorflow, or JAX.
- Research excellence demonstrated by publications or significant projects, preferably at top ML conferences.