Platform Software Engineer - Quantitative Finance

Winton; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Winton in London seeks a Software Developer for the Quantitative Platform to help build and maintain data-intensive backend services, tooling, and UI layers supporting research and trading. The role emphasizes collaboration with researchers and technologists to deliver high-impact features.

The ideal candidate has 2+ years in software development with C#, Python or C++, and is comfortable using AI coding tools and modern cloud-native stacks including Docker, Kubernetes, and Spark-based workflows.

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics or equivalent technical field.
• 2+ years of professional software development experience, including C#, Python or C++.
• Comfortable using agentic AI coding tools such as Claude Code as part of daily work.
• Collaborative nature and ability to work in a team with portfolio managers, quantitative researchers, and other technologists.
• Strong interest in keeping up with latest technologies and their adoption.

Responsibilities

• Build and maintain a world-class platform enabling storage, transformation, and testing of data at scale using cloud and distributed computing tech.
• Understand research requirements to deliver business-critical functionality in a timely manner.
• Contribute to code reviews, knowledge sharing, and design discussions.
• Write clean, well-tested code across services, data storage and UI layers.

Skills

C#

Python

C++

Team collaboration

Problem solving

Education

Bachelor's or Master's in Computer Science, Mathematics, Physics or equivalent

Tools

Docker

Kubernetes

Spark

Parquet

Arrow

Angular

Job description

Winton in London seeks a Software Developer for the Quantitative Platform to help build and maintain data-intensive backend services, tooling, and UI layers supporting research and trading. The role emphasizes collaboration with researchers and technologists to deliver high-impact features.

The ideal candidate has 2+ years in software development with C#, Python or C++, and is comfortable using AI coding tools and modern cloud-native stacks including Docker, Kubernetes, and Spark-based workflows.