Quant jobs / Qube Research & Technologies

Data Scientist

A data role in the Data Search & Analytics team, working directly with research and trading desks. You find, shape and productionise datasets for them.

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.

Assess and onboard new datasets for a desk's priority list
Build Python tooling that gets vendor data into production quickly
Resolve data-quality issues that block researchers
Help desks use internal data tools inside live trading systems

What they ask for

Required

Advanced Python
Pandas and NumPy
Experience with traditional and alternative financial data
Interest in financial markets
Clear communication with researchers, traders and vendors
Data engineering and exploration skills

Preferred

Buy-side quantitative finance experience

Education: Postgraduate degree in a quantitative subject such as maths, physics or engineering.
Experience: 3+ years as a data scientist or similar
Languages and tools: Python
Pandas
NumPy

How to prepare

Clean and align two public datasets with different identifiers using Pandas
Write a data-quality checklist (gaps, outliers, timestamps) and apply it to a vendor-style feed
Study how alternative data such as web or satellite data is evaluated for alpha
Practise explaining a dataset's limits to a non-technical trader

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 Qube Research & Technologies’s site before applying: requirements, location and pay can change after we check them.

View the posting on Qube Research & Technologies’s site ↗

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