Quant jobs / Winton

Software Developer, Quantitative Platform

A platform engineering role in Winton's Quantitative Platform team, which builds the data and tooling that research and trading depend on. It is a software role closely tied to quant researchers.

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 storage, transformation and testing services for large datasets
Gather requirements from research teams and deliver features
Write well-tested code across services, storage and UI layers
Join code reviews and design discussions

What they ask for

Required

Degree in computer science, maths, stats, physics or similar
Two or more years of professional development
C#, Python or C++
Comfort with agentic AI coding tools
Teamwork with PMs, researchers and technologists
Multi-domain problem solving

Preferred

Cloud data processing, Spark, Parquet, Arrow
Docker and Kubernetes
Quant hedge fund development experience
Angular front ends

Education: Bachelor's or Master's in computer science, maths, statistics, physics or similar
Experience: 2+ years of professional software development
Languages and tools: C#
Python
C++
Docker
Kubernetes
Kafka
Markets: multi-asset

How to prepare

Build a service that stores and queries large tabular data (Parquet/Arrow)
Learn Docker and Kubernetes basics
Practise writing testable C# or Python services
Understand what researchers need from data tooling

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

View the posting on Winton’s site ↗

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