Quant jobs / Citadel

Sector Data Scientist, Central Team

An early-career data-science role supporting Citadel’s fundamental-equity investors. The central team maintains shared research tools and answers data questions across sectors.

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.

Clean alternative datasets and reconcile inconsistent observations
Extend investor dashboards and recurring research trackers
Improve tests and documentation for shared Python and SQL tools
Apply language-model tools to repeated extraction and monitoring tasks

What they ask for

Required

Python and SQL fluency
Data validation and exploratory analysis
Version control, testing and pipeline familiarity
Interest in companies and investing
Communicating analytical results

Education: Bachelor’s or master’s in computing, engineering or a related subject
Experience: Recent graduates or up to two years in engineering, analytics or data science
Languages and tools: Python
SQL
Markets: equities

How to prepare

Build a company KPI tracker from a public dataset
Add automated checks for missing and conflicting data
Explain how a dataset could inform an equity-investment question

What to study

The Quantitative 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.