Quant jobs / Qube Research & Technologies

Senior Quantitative Developer – Python

A senior Python engineering role in a multi-asset team of quant developers and researchers, improving the research platform. You set engineering standards and help get strategies into production.

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.

Build and extend quantitative research tools used by the team
Automate large-scale data preparation and cleansing pipelines
Help researchers move trading strategies into production
Raise testing and code quality across the research codebase
Bring AI-assisted coding into research engineering workflows

What they ask for

Required

5-10 years of quant development
Strong Python
High standards for testing and maintainable design
Experience with agentic software development
Prioritisation across several projects
Communication in a fast-paced team

Education: No education requirement stated
Experience: 5-10 years of quant development
Languages and tools: Python
Markets: multi-asset

How to prepare

Build a tested Python research library with data validation and reproducible runs
Practise vectorised data cleaning on messy, multi-asset time series
Learn how backtests are productionised: scheduling, versioning and monitoring
Try AI-assisted coding on a real project and learn to review its output

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.