Quant jobs / Oxford Knight

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

A recruiter seeks a research-data engineer for an unnamed algorithmic trading firm. The role turns vendor data into validated inputs and features for 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.

Onboard and normalise research datasets.
Build checks and alerts for data-quality failures.
Develop feature-ready datasets with quantitative researchers.

What they ask for

Required

Python
Data analysis and statistics
Data-science methods
Careful validation
Interest in financial markets

Education: Undergraduate qualification in a STEM subject.
Experience: Prior experience expected; fresh graduates are explicitly excluded, with no minimum years stated.
Languages and tools: Python

How to prepare

Build a point-in-time research dataset from raw vendor files.
Test revisions, missing data and publication-time alignment.
Create a reproducible feature pipeline for a trading hypothesis.

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.