Campus AI/ML Researcher (Intern)
An ML research internship at Jump's Asian offices for students who want to apply modern deep learning to trading. Interns take an open-ended research project from idea towards production inside a trading team.
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.
- Prototype ML models on market data for a trading team
- Improve model design, training tools and infrastructure
- Test ideas against daily feedback from live markets
- Present findings to trading researchers
What they ask for
Required
- Strong general ML background
- Modern deep learning such as transformers
- Python and/or C++
- PyTorch, TensorFlow or JAX
- Strong publications or open-source AI work
- Interest in working in Asia after graduation
- Education
- Not stated; research-level ML background expected
- Experience
- Students; no finance knowledge needed
- Languages and tools
How to prepare
- Reproduce a modern sequence-model paper and write up what held up
- Train a model on noisy financial time series and test it for leakage
- Learn why financial data breaks standard ML assumptions
- Contribute to an open-source ML project
What to study
- Financial Machine Learning
- Python for Quantitative Finance
- Probability, Statistics and Financial Data
- Quantitative Research, Data and Backtesting
The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Jump Trading’s site before applying: requirements, location and pay can change after we check them.
View the posting on Jump Trading’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Jump Trading and doesn’t handle applications.