Quant jobs / Hudson River Trading

Research Data Expert

A senior data specialist who owns one data domain, such as alternative or economic data, and turns vendor feeds into trading-ready features. It sits in the central data team that serves researchers and 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.

Own the pipeline from raw vendor delivery to cleaned, featurised datasets for researchers
Add automated quality checks and alerts for the data domain
Look for alpha in the data and hand findings to researchers
Help the sourcing team judge new datasets before purchase
Review the work of junior data engineers

What they ask for

Required

Python or R
Data science methods
5+ years in a specific data domain
Evidence of finding alpha through data analysis
Data quality discipline
STEM degree

Education: Undergraduate degree in a STEM field.
Experience: 5+ years in a data domain such as alternative, fundamental, reference or economic data
Languages and tools: Python
R

How to prepare

Pick a public alternative dataset and build a cleaned feature set with documented checks
Show a small study where a data-derived signal predicts returns, with honest out-of-sample results
Learn point-in-time handling and survivorship bias in financial data
Practise writing data validation and monitoring code

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

View the posting on Hudson River Trading’s site ↗

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