Quant jobs / Squarepoint Capital

Quant Developer (KDB)

A KDB specialist in Squarepoint's Quantitative Development team, building research and trading software with quant researchers. The team follows modern engineering practice across asset classes.

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 KDB-based research and trading tools
Design data storage and processing for researchers
Deliver cross-team projects with technologists
Mature internal tools for wider use

What they ask for

Required

3+ years of KDB
Applied maths, physics, engineering, finance or CS degree
Finance, data storage and analysis knowledge
Version control and agile development
Technical communication

Preferred

Continuous integration, logging and monitoring
Advanced quantitative skills
Requirements analysis and software design

Education: Degree in applied maths, physics, engineering, quantitative finance or computer science.
Experience: 3+ years of KDB experience.
Languages and tools: KDB+/q

How to prepare

Build a tick database in KDB+/q and query it
Learn partitioned tables and as-of joins
Study time-series storage design for market data
Add tests and CI to a small data project

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 Squarepoint Capital’s site before applying: requirements, location and pay can change after we check them.

View the posting on Squarepoint Capital’s site ↗

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