Python Developer

Job Description

Winton, a research-based investment management company, is seeking a highly motivated Python Developer to join their Quant Platform team in London. This team is at the intersection of Data, Research, Technology, and Infrastructure, and is responsible for delivering and operating a best-in-class quantitative investment platform.

The Python Developer will collaborate with Portfolio Managers, Researchers, and Quantitative Developers to deliver tools, APIs, libraries, and frameworks that power the research, implementation, and monitoring of trading pipelines. The role involves working with technologies such as Amazon S3, Python libraries (e.g., Pandas), Docker, Kubernetes on AWS, and Kafka.

Responsibilities:

• Contribute to and lead engineering projects to deliver solutions for quantitative research and trading.
• Write and maintain high-quality, well-tested code across data storage, service, and delivery/UI layers.
• Own the delivery of solutions by engaging with strategy teams and providing well-documented interfaces/APIs.
• Develop and configure tools for platform observability to verify strategy and platform behaviors.
• Ensure operational stability of critical production systems, participating in an on-call rota.

Requirements:

• A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Physics, or a related technical field.
• A desire to work in a production-facing role in a data-centric enterprise.
• 3+ years of Python programming experience in a commercial setting, with hands-on experience with CI/CD workflows.
• A proven interest in quantitative finance and adaptability to work on various projects.
• A commitment to engineering excellence and practical technology solutions.
• Excellent communication and collaboration skills.

The role offers:

• Opportunity to work at a research-based investment management company.
• Chance to collaborate with Portfolio Managers, Researchers, and Quantitative Developers.
• Exposure to cutting-edge technologies such as Amazon S3, Python libraries, Docker, Kubernetes, and Kafka.