Machine Learning Research Intern - Summer 2027 - Amsterdam

About this role

<p data-local-id="35f6d7c89544" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true" data-pm-slice="1 1 []">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.</p> <p data-local-id="56e8036cdfd2" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">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.</p> <p data-local-id="f913852b08dd" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Your Core Responsibilities:</p> <ul class="ak-ul" data-local-id="009efd41-7a05-48ee-9d82-86fc981a4d81" data-prosemirror-content-type="node" data-prosemirror-node-name="bulletList" data-prosemirror-node-block="true"> <li data-local-id="f40dedf0-106f-4ac4-a045-7977b7fec03b" data-prosemirror-content-type="node" data-prosemirror-node-name="listItem" data-prosemirror-node-block="true"> <p data-local-id="40a566d51c2b" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Conduct hands-on research to design, develop, and apply original machine learning algorithms, with the support to explore and innovate</p> </li> <li data-local-id="de84658c-033c-481a-9e1b-ce80bd32f09c" data-prosemirror-content-type="node" data-prosemirror-node-name="listItem" data-prosemirror-node-block="true"> <p data-local-id="752a7ba4d6a5" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Analyze large-scale datasets, develop predictive models, and evaluate novel approaches to complex market problems</p> </li> <li data-local-id="a53c72ce-3a99-4ed5-aa51-e2525caa23aa" data-prosemirror-content-type="node" data-prosemirror-node-name="listItem" data-prosemirror-node-block="true"> <p data-local-id="501ed27d67ec" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Develop your research skills through hands-on project work, mentorship, and regular feedback from experienced researchers</p> </li> <li data-local-id="995fd271-d8e8-4eb0-90f8-187bfee0e317" data-prosemirror-content-type="node" data-prosemirror-node-name="listItem" data-prosemirror-node-block="true"> <p data-local-id="45e2f03d9996" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Enhance your understanding of quantitative trading through classroom-based instruction in options theory, market making, and related topics</p> </li> </ul> <p data-local-id="fc9c87754e28" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Your Skills and Experience:</p> <ul class="ak-ul" data-local-id="e169c1c4-a3e3-4850-988b-e97fe10fbd94" data-prosemirror-content-type="node" data-prosemirror-node-name="bulletList" data-prosemirror-node-block="true"> <li data-local-id="400f5b42-1548-4861-b83c-1ce5fe609d7a" data-prosemirror-content-type="node" data-prosemirror-node-name="listItem" data-prosemirror-node-block="true"> <p data-local-id="74df5d652ea9" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Currently in your penultimate year of study, graduating in 2028</p> </li> <li data-local-id="9d48b213-4c8e-4261-b77c-145e3d3c9f2f" data-prosemirror-content-type="node" data-prosemirror-node-name="listItem" data-prosemirror-node-block="true"> <p data-local-id="a23380974d2d" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">A minimum of an MSc in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field</p> </li> <li data-local-id="7695d5d0-c30d-4903-a8a3-56017c45ec82" data-prosemirror-content-type="node" data-prosemirror-node-name="listItem" data-prosemirror-node-block="true"> <p data-local-id="87b1102ac315" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field</p> </li> <li data-local-id="e7560044-21a6-4951-93fe-f7b8e3629957" data-prosemirror-content-type="node" data-prosemirror-node-name="listItem" data-prosemirror-node-block="true"> <p data-local-id="a0a825d7978f" data-prosemirror-content-type="node" data-prosemirror-node-name="paragraph" data-prosemirror-node-block="true">Proficiency in Python and core machine learning frameworks such as PyTorch</p> </li> <li data-local-id="9f8646