Quant jobs / Qube Research & Technologies

Quantitative Analyst

An analytics role focused on the accuracy of trading and production data used for decisions. You keep data flowing between systems and answer metric questions from traders and management.

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.

Check trading and production data for accuracy
Resolve data discrepancies with trading support
Maintain the data processes feeding decision-making
Answer ad hoc questions on financial metrics

What they ask for

Required

Python
SQL
Handling large datasets
Explaining data issues to technical and non-technical audiences

Preferred

Experience at a financial institution or audit firm

Education: Advanced degree in data science, statistics, maths, physics or engineering.
Experience: Years not stated; prior financial institution or audit experience is a plus
Languages and tools: Python
SQL

How to prepare

Build a reconciliation script that matches trades across two sources and reports breaks
Practise SQL window functions on position and PnL data
Learn the basics of PnL attribution
Write a plain-English note explaining a data discrepancy

What to study

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.