Software Developer, Quantitative Platform

About Winton

Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors.

We employ ambitious professionals who want to work collaboratively at the leading edge of investment management.

We seek a highly skilled developer with strong computer science fundamentals to join our Quantitative Platform team. This team is responsible for developing the core platforms that underpin and provide data to the research and trading of our quantitative investment strategies, alongside tools, APIs, libraries, and user interfaces to support this.

In this role you will work closely with our research and other technology teams to deliver high impact projects that improve our ability to predict and trade movements in global financial markets.

Our Technology

Operating in a cloud-first environment, we predominantly write our backend systems in C# but otherwise make pragmatic choices for each scenario. This often means Python with C++ employed in performance-sensitive cases.

Our applications are written with containerisation in mind from the outset and deployed as a Docker image into Kubernetes on AWS where we can scale on-demand to satisfy burstable workloads. We make extensive use of Kafka for low-latency communication across applications and use a mixture of different technologies for storage, from S3 to relational databases. We utilise GitHub for source control and Jenkins for CI, though with an increasing interest in GitHub Actions.

We constantly evaluate our stack to ensure we’re using the most appropriate technologies for the needs of our business and the efficient delivery of those requirements.

Your responsibilities will include:

• Build and maintain a world-class platform that enables storage, transformation, and testing of data at scale by leveraging the latest open-source software, cloud, and distributed computing technologies.
• Gain a deep understanding of the requirements of our research teams to deliver business-critical functionality in a timely-manner.
• Collaborate with the team through active contribution in code reviews, knowledge-sharing, and design discussions.
• Write and maintain good quality, well-tested code across services, data storage and UI layers.

What we're Looking For:

• A Bachelors or Masters 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 and are genuinely keen to use them as a natural part of daily work
• Collaborative nature and ability to work in a team e.g., partnering with portfolio managers, quantitative researchers, and other technologists.
• Strong interest in keeping abreast of latest technologies and a measured approach for adopting them.
• Comfortable with problem solving across multiple technologies and business domains.

What would Be Useful:

• Experience engineering systems for the cloud-based storage and processing of large datasets or using frameworks such as Spark and open standards like Parquet and Arrow.
• Experience working with other cloud and related technologies, such as Docker and Kubernetes.
• Experience working as a software developer in the quantitative hedge fund space.
• Experience building web applications using front-end frameworks such as Angular.

Equal Opportunity Workplace

We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.