Graduate ML Researcher for Trading AI & Analytics

IMC B.V.

Chicago (IL)

On-site

USD 62,799 - 97,053

Full time

14 days+
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Job summary

IMC invites a Graduate Machine Learning Researcher to join our global trading research team. You will apply advanced ML, statistical, and computational techniques to solve real-world trading problems across equities, futures, and options markets, working with Traders and Developers to deploy research into production.

Your year of study extends to 2027, with an MSc (PhD preferred) in ML or a related quantitative field, strong ML foundations, PyTorch and Python, and publications a plus.

Qualifications

  • Final year of study, graduating in 2027.
  • MSc (PhD preferred) in ML, Statistics, Deep Learning or related field.
  • Strong foundations in statistics and ML with research track record.
  • Proficiency in PyTorch and Python.
  • Publications in journals are a plus.
  • No prior finance knowledge required.
  • Able to start full-time in February or August 2027.

Responsibilities

  • Design, implement, and evaluate ML models for trading apps.
  • Apply rigorous statistics to measure performance and control overfitting.
  • Experiment with novel ML approaches in real trading environments.
  • Communicate progress and results across teams.
  • Collaborate with traders, researchers, and engineers to productionize models.

Skills

MSc in ML
Python
PyTorch
Statistics
Research track record
Time-series modeling

Education

MSc in Machine Learning
PhD preferred

Tools

PyTorch
Python

Job description

IMC invites a Graduate Machine Learning Researcher to join our global trading research team. You will apply advanced ML, statistical, and computational techniques to solve real-world trading problems across equities, futures, and options markets, working with Traders and Developers to deploy research into production.

Your year of study extends to 2027, with an MSc (PhD preferred) in ML or a related quantitative field, strong ML foundations, PyTorch and Python, and publications a plus.

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