Quant jobs / Qube Research & Technologies

Data Scientist – Market Data

A data role building and owning production pipelines for market, pricing and reference datasets. You support quants and traders who need reliable systematic inputs.

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.

Design pricing and reference datasets with quants
Maintain automated pipelines from sourcing to delivery
Track down the root cause of data-quality incidents
Try new extraction and onboarding approaches

What they ask for

Required

Advanced Python
Pandas or Polars
Automated production data pipelines
Understanding of market and reference data
Data analysis and debugging skills
Clear communication with quants and traders

Preferred

Bloomberg or LSEG data products and APIs

Education: Postgraduate degree in maths, physics, engineering, CS or another quantitative subject.
Experience: 2–5 years in a data-focused role with financial or market data
Languages and tools: Python
Pandas
Polars

How to prepare

Build a scheduled pipeline that pulls, validates and stores daily prices
Study corporate actions and identifier mapping and how they break datasets
Learn Polars alongside Pandas
Read about Bloomberg and LSEG data products and their delivery modes

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.