Quant jobs / IMC Trading

Deep Learning Research Intern – Summer 2027

A 10-week summer internship working with deep learning researchers on models that could affect trading. Strong interns may be offered a graduate role.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Join a researcher team on a real model-building project
Explore transformers, representation learning and reinforcement learning
Work with large datasets and modern training infrastructure
Receive mentoring on research skills

What they ask for

Required

Bachelor's, Master's or PhD student graduating Sep 2027 to Jul 2028
Applied deep learning experience
Python
PyTorch, JAX or TensorFlow
Clear communication
Problem-solving

Preferred

Publications or open-source research

Education: Current Bachelor's, Master's or PhD student in CS, ML, AI, maths, statistics or engineering.
Experience: Current student; no finance experience needed
Languages and tools: Python
PyTorch
JAX
TensorFlow

How to prepare

Build and document a deep learning project, ideally on time-series data
Read recent papers on transformers and self-supervised learning
Practise training and debugging models in PyTorch or JAX
Learn how financial data differs from typical ML benchmarks

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on IMC Trading’s site before applying: requirements, location and pay can change after we check them.

View the posting on IMC Trading’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with IMC Trading and doesn’t handle applications.