Our Machine Learning Internship is designed for curious, ambitious researchers who want to apply machine learning to complex, real-world problems. Over 10 weeks, you'll work alongside experienced researchers and mentors to develop models, analyze large-scale datasets, and contribute to research that informs IMC's trading strategies across global equities, futures, and options markets. You'll begin with a week of engaging, classroom-based learning in the proprietary trading landscape, then gain hands-on experience designing experiments, evaluating novel approaches, and tackling challenging problems in a collaborative, fast-paced environment where your work can have real-world impact. Split between our Amsterdam headquarters and time at our London office, the program also gives you the chance to broaden your network across IMC's regions.

Throughout the program, you'll deepen your understanding of quantitative trading through a combination of classroom and on-desk training, while benefiting from professional development and networking opportunities. You'll receive comprehensive support from dedicated internship trainers and a one-on-one mentor to guide you in your work and professional development. We offer a highly competitive compensation package, including fully-furnished corporate accommodation and catered meals. High-performing interns may be considered for a full-time Graduate Researcher position upon graduation.

Your Core Responsibilities:

• Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate

• Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems

• Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers

• Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics

Your Skills and Experience:

• Currently in your penultimate year of study, graduating in 2028

• A minimum of an MSc in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field

• Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field

• Proficiency in Python and core machine learning frameworks such as PyTorch

• Desirable: publications in respected journals covering deep learning or time-series modeling

• No prior finance knowledge or experience required

• Ability to start the internship on the last week of June 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 August 2027. We encourage you to focus on enhancing your skillset before reapplying.

Please note that IMC's internship program duration is less than 90 days, which unfortunately does not qualify for a Highly Skilled Migrant visa. Because of this and current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities.

If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain the correct immigration sponsorship for you. Please confirm by emailing [email protected]. If you are currently residing or attending university outside of Russia, Belarus, or Iran, and have existing work authorisation in the Netherlands or are eligible to work without sponsorship, we encourage you to apply and inform our campus recruitment team of your situation: [email protected].