Quant jobs / Selby Jennings

Python Quant Developer

Selby Jennings advertises Python quant-development openings at an unnamed investment firm. The developers support systematic researchers with data pipelines, analytics and production trading tools.

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.

Develop reusable Python research tools
Integrate datasets and quantitative models
Improve application tests, deployment and reliability
Translate researcher and portfolio-manager requests into software

What they ask for

Required

Two or more years in relevant quantitative technology
Python
Systematic investment workflows
Testing and version control
Financial-market familiarity
Problem-solving and communication

Preferred

Cloud or distributed computing
Databases and Linux
Front-office collaboration

Education: No formal degree requirement is specified.
Experience: At least two years in quantitative development or related technology.
Languages and tools: Python
Markets: multi-asset

How to prepare

Build a tested data-to-model research pipeline
Demonstrate production-quality Python design
Explain monitoring and recovery for an analytical service

What to study

The HFT Quant Developer roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Selby Jennings’s site before applying: requirements, location and pay can change after we check them.

View the posting on Selby Jennings’s site ↗

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