Machine Learning Research Intern - Summer 2027 - Amsterdam

This Machine Learning Research Internship at IMC offers an ambitious student the opportunity to apply advanced machine learning techniques to real-world quantitative trading problems across global equities, futures, and options markets. Interns will engage in hands-on research, supported by experienced mentors, to design, develop, and implement original machine learning algorithms. Core responsibilities include analyzing large-scale datasets, building robust predictive models, and rigorously evaluating novel approaches to complex market dynamics. The program provides comprehensive training in the proprietary trading landscape, covering essential concepts like options theory and market making, through both classroom instruction and on-desk experience. Successful candidates will possess strong foundations in statistics and machine learning, with a demonstrated research track record in areas such as deep learning or probabilistic programming. Technical proficiency in Python and key machine learning frameworks like PyTorch is essential. The internship aims to deepen understanding of quantitative trading while contributing directly to IMC's strategic trading strategies.