Quant jobs / Citadel Securities

Senior Research Engineer (Data)

Citadel Securities needs a senior data engineer supporting systematic investment research. The work prepares large and varied datasets so researchers can investigate and improve 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.

Own dataset quality and delivery.
Translate research questions into scalable queries.
Build cleaning, validation and monitoring pipelines.

What they ask for

Required

ETL development
Data-project ownership
Analytical judgement
Attention to detail

Preferred

Python and SQL
Cloud tooling
Forecasting or ML
dbt
Relevant bachelor’s qualification

Education: A computing or mathematical bachelor’s qualification is preferred.
Experience: Evidence of delivering data-engineering outcomes; no minimum years specified.
Languages and tools: Python
SQL
dbt

How to prepare

Build a dataset with schema and freshness checks.
Benchmark a large time-series query.
Document data transformations for a researcher.

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 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.