Quant jobs / Oxford Knight

Research Data Expert | London, NYC, Singapore- Innovative Algo Trading

A recruiter seeks a data-domain expert for an unnamed algorithmic trading firm. The role owns data pipelines and uses detailed dataset analysis to support alpha research.

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 a research-data domain from vendor acquisition to feature delivery.
Validate datasets and investigate their investment value.
Guide engineers and researchers working with the data.

What they ask for

Required

Specialist data-domain experience
Programming and data-science methods
Evidence of data-driven alpha research
Strong validation discipline

Preferred

Python or R

Education: Undergraduate qualification in a STEM subject.
Experience: At least 5 years working professionally with a specialised data domain.

How to prepare

Audit an alternative dataset for historical revisions and survivorship.
Build point-in-time features and test their incremental predictive value.
Document domain assumptions and teach others to use the data correctly.

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

View the posting on Oxford Knight’s site ↗

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