Quant jobs / Citadel

Machine Learning Researcher – PhD Graduate (Asia)

A graduate machine-learning researcher at Citadel. Empirical research turns structured and unconventional datasets into models for investment strategies.

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.

Investigate patterns with statistical and machine-learning methods
Implement research algorithms and check them for errors
Backtest models on large or unstructured datasets
Document experimental results for the research team

What they ask for

Required

Quantitative PhD background
Advanced machine-learning or related research
Python or C++ programming
Algorithmic problem-solving
Explaining complex research concisely

Education: PhD in maths, statistics, physics, computing or another quantitative subject
Experience: Strong research record in machine learning or a related area; no years specified
Languages and tools: Python
C++

How to prepare

Compare a deep-learning model with a simple statistical baseline
Test an NLP feature without contaminating the evaluation period
Document a failed experiment and the diagnostics that explained it

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 Citadel’s site before applying: requirements, location and pay can change after we check them.

View the posting on Citadel’s site ↗

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