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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 motivated developer to join Winton’s Quant Platform team – a group working at the intersection of Data, Research, Technology and Infrastructure. The team is responsible for delivering and operating a best-in-class quantitative investment platform. In this role, you’ll collaborate directly with Portfolio Managers, Researchers, and Quantitative Developers to deliver the tools, APIs, libraries, and frameworks that power the research, implementation and monitoring of their trading pipelines.
Amazon S3 serves as our primary data storage solution, and we make heavy use of Python libraries (e.g. Pandas) for data manipulation. We are increasingly making use of cloud-based solutions to provide on-demand resource scaling to satisfy burstable strategy workloads, and as such utilise Docker containerisation for deployment into Kubernetes on AWS. We make use of Kafka for communication across our applications. Our CI/CD workflows run on Jenkins or GitHub Actions, with an increasing shift towards the latter.
Responsibilities:
- Contribute to and lead engineering projects to deliver solutions that combine to create a high-quality platform for quantitative research and trading.
- The success of these projects will depend on writing and maintaining good quality, well-tested code across data storage, service and delivery/UI layers.
- Own the delivery of these solutions by engaging with strategy teams and other platform users to provide well-documented and high-quality interfaces/APIs that allow them to seamlessly integrate their workflows with the platform.
- Play a part in delivering platform observability by developing and configuring tools that effectively verify strategy and platform behaviours.
- Ensure operational stability of the critical production systems of the quantitative platform, with participation in an on-call rota around the clock to ensure smooth running of our global operations.
What we are looking for:
- A Bachelors or Masters degree in Computer Science, Mathematics, Statistics, Physics or equivalent technical field.
- A desire to work in a production-facing role at the heart of a dynamic data-centric enterprise.
- 3+ years Python programming experience in a commercial setting, with hands-on experience with CI/CD workflows.
- A proven interest in quantitative finance and an adaptability and motivation to work on a range of projects across the breadth of Winton’s strategy areas.
- A commitment to engineering excellence and practical technology solutions.
- Excellent communication and collaboration skills.
What would be useful:
- Familiarity with containerised cloud development, deployment and management (Docker, Kubernetes, AWS).
- Experience working closely with researchers and portfolio managers in a systematic hedge fund in a production focused role.
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.
Winton London, England Office
1 Hoopers Court, London, United Kingdom, SW3 1AF
