Quant jobs / Citadel Securities
Machine Learning Researcher – PhD Intern (Asia)
Citadel Securities applies machine learning to market research. The researcher develops and tests algorithms on large datasets to support quantitative trading.
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.
- Extract patterns from structured and unstructured observations.
- Implement research algorithms.
- Backtest models and document findings.
What they ask for
Required
- Advanced ML or statistical research
- Quantitative problem solving
- Programming
- Algorithmic data investigation
- Research communication
- Education
- A PhD in a quantitative discipline is required.
- Experience
- A strong research record is required; minimum years unspecified.
- Languages and tools
How to prepare
- Compare ML methods with simple statistical baselines.
- Validate models using time-ordered data.
- Investigate errors before interpreting predictive results.
What to study
- Financial Machine Learning
- Quantitative Research, Data and Backtesting
- Probability, Statistics and Financial Data
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 Citadel Securities’s site before applying: requirements, location and pay can change after we check them.
View the posting on Citadel Securities’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Citadel Securities and doesn’t handle applications.