IMC Trading
Finance
Machine Learning Research Intern - Summer 2027 - Sydney
Editorial estimates: opening, location type, application open date. Check the employer’s current terms.
Opening timing 2026-08-25 (Estimated)
Role details
Overview
IMC is a proprietary trading firm and market maker using quantitative research to trade global financial markets. This Sydney-titled internship applies machine learning to equities, futures and options trading research. Interns develop predictive models, analyse large datasets and test new research approaches, supported by experienced researchers. The summer placement lasts 10–12 weeks and combines project work with classroom and desk-based trading education. Compensation includes travel and accommodation. Applicants must be pursuing a relevant quantitative PhD and demonstrate research experience, machine-learning knowledge and Python proficiency. Strong performance may lead to consideration for a Graduate Researcher role. Exact placement dates and closing date are not published.
Requirements
- Degree type: PhD in Machine Learning, Computer Science, Electrical Engineering, Mathematics, Statistics, Physics, related quantitative field
- Eligibility: Student / early career; pursuing quantitative PhD; demonstrated hands-on machine-learning research and research excellence required Degree requirements: PhD in Machine Learning; Computer Science; Electrical Engineering; Mathematics; Statistics; Physics; related quantitative field
Program timeline
- Applications open
- 2026-08-25 (Estimated)
- Intake
- IMC Machine Learning Internship — 2027