Quant jobs / IMC Trading

Graduate Deep Learning Researcher – New York

An entry-level researcher role improving large AI models that shape trading. New hires work under senior researchers across the research lifecycle.

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.

Build and improve deep learning models under senior guidance
Research transformers, foundation models and reinforcement learning
Prepare large datasets and features, including multimodal data
Contribute to shared training and deployment pipelines

What they ask for

Required

Bachelor's, Master's or PhD completing for a 2027 start
Deep learning research or applied ML experience
Modern architectures
Optimisation and learning theory
Python with PyTorch, JAX or TensorFlow
Clear communication

Preferred

Publications at top ML venues for PhD candidates

Education: PhD, Master's or Bachelor's in CS, ML, AI, maths, statistics or engineering, completed for a February or August 2027 start.
Experience: New graduates; no finance experience needed
Languages and tools: Python
PyTorch
JAX
TensorFlow
Markets: multi-asset

How to prepare

Complete a research-style deep learning project with a clear write-up
Study the theory behind optimisation and generalisation
Practise implementing sequence models from scratch
Read about overfitting in low signal-to-noise financial data

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.