2 hours ago
London, United KingdomMid Level
Responsibilities
- Build and maintain a platform for storing, transforming, and testing data at scale using open-source, cloud, and distributed computing technologies.
- Understand research-team requirements and deliver business-critical functionality for quantitative investment strategies.
- Collaborate through code reviews, knowledge sharing, and design discussions.
- Write and maintain well-tested code across services, data storage, and user-interface layers.
Requirements
- Bachelor’s or master’s degree in Computer Science, Mathematics, Statistics, Physics, or an equivalent technical field.
- At least 2 years of professional software development experience, including C#, Python, or C++.
- Comfort using agentic AI coding tools such as Claude Code.
- Collaborative approach and ability to work with portfolio managers, quantitative researchers, and technologists.
- Interest in evaluating and adopting appropriate technologies and ability to solve problems across multiple technologies and business domains.
- Experience with cloud-based storage and processing of large datasets, Spark, Parquet, Arrow, Docker, Kubernetes, or quantitative hedge fund software development is useful.
Tech Stack
Categories
BackendData Engineering
About Winton
Winton is a quantitative investment manager that designs and trades systematic strategies across global liquid asset classes, including managed futures/CTAs, systematic macro, long–short equities, and quantitative credit. It provides investment products and mandates to institutional investors, implementing models based on statistical research. Founded in 1997 by David Harding and headquartered in London, the privately held firm counts some of the world’s largest institutions among its clients.