Quant jobs / Citadel

Quantitative Researcher – Data Strategies Group

A researcher in Citadel’s Data Strategies Group, working across investment teams. Large alternative datasets are used to investigate economic activity and potential investment signals.

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.

Evaluate alternative datasets for coverage, quality and investment relevance
Build statistical models of economic activity from noisy observations
Test candidate signals with investment colleagues
Turn research experiments into dependable analytical code

What they ask for

Required

Statistical inference and machine learning
Experience with high-dimensional data
Research coding in Python, C++, R or Julia
Independent experimental design
Explaining technical findings clearly

Education: Bachelor’s, master’s or PhD in a quantitative discipline
Experience: Practical modelling and independent-research experience; no years specified
Languages and tools: Python
C++
R
Julia

How to prepare

Assess a sensor or event dataset for coverage biases
Design a hypothesis test using noisy economic observations
Compare models with an evaluation that respects event timing

What to study

The NLP and ML Quant Researcher roadmap sets out the stages for this kind of role, with free resources for each.

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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.