Quant jobs / IMC Trading

Machine Learning Engineer Intern – Summer 2027

A 10-week internship on systems that train and deploy large ML models for trading. Interns can convert to a graduate offer.

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.

Work on a project supporting ML training or deployment
Learn markets, IMC technology and coding standards in classroom training
Work with traders and technologists
Build GPU or distributed-computing tooling with mentor support

What they ask for

Required

Student graduating Sep 2027 to Jul 2028
CS, engineering or related technology degree
Algorithms and data structures
C++ or Python
Analytical problem-solving
Available to start 7 June 2027

Education: Current student in computer science, engineering or a related technology degree.
Experience: Current student; no finance knowledge required
Languages and tools: C++
Python

How to prepare

Practise algorithms and data structures in C++ or Python
Train a small model with PyTorch and profile where time goes
Read an introduction to GPU computing and distributed training
Learn basic market structure so the training makes sense

What to study

The HFT Quant Developer 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.