Applied Deep Learning Intern for Quantitative Trading

IMC; Amsterdam; On-site; EUR 17,000 - 23,000; Full time

Benefits offered by this job

Travel coverage

Accommodation provided

Mentorship from researchers

Job summary

IMC offers a Machine Learning Internship in Amsterdam for 10-12 weeks, inviting curious researchers to apply ML to real-world problems in trading across global markets. You'll work with experienced researchers to design experiments, build models, and analyze large-scale datasets that inform trading strategies.

The program blends classroom and on-desk training, with professional development and networking opportunities.

Qualifications

• Pursuing a PhD in Machine Learning or related quantitative field.
• Strong foundations in ML, probability and statistics; applying advanced ML to research problems.
• Research experience with neural networks, sequence modeling, optimization or related topics.

Responsibilities

• Conduct hands-on research to design, develop, and apply original ML algorithms.
• Analyze large-scale datasets, develop predictive models and evaluate novel approaches.
• Develop research skills through projects, mentorship, and feedback from researchers.
• Enhance understanding of quantitative trading through classroom-based instruction.

Skills

Python

PyTorch

TensorFlow

JAX

ML techniques

Education

Pursuing a PhD in ML/CS/EE/math/physics

Tools

PyTorch

TensorFlow

JAX

Job description

IMC offers a Machine Learning Internship in Amsterdam for 10-12 weeks, inviting curious researchers to apply ML to real-world problems in trading across global markets. You'll work with experienced researchers to design experiments, build models, and analyze large-scale datasets that inform trading strategies.

The program blends classroom and on-desk training, with professional development and networking opportunities.