Quantitative Developer Graduate | Data Pipelines & Trading Tools

Greenhouse Software, Inc.; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Winton is seeking a talented quantitative developer to join the Investment Management & Research group at Winton. You will work within the Fundamental Commodities strategy, designing and building the systems and tools that underpin the firm's trading and research.

Your focus will initially be on software development: adding functionality for new trading strategies and maintaining the existing signal pipeline, with opportunities to contribute to research over time.

Qualifications

• 1st class undergraduate degree in Computer Science.
• Postgraduate qualifications are preferred but not necessary.
• Completed a relevant internship with strong Python skills.
• Hands-on experience with building and deploying data pipelines.
• Familiarity with CI/CD, Kafka, Airflow.
• Excellent communication and collaboration skills.
• Detail oriented, with a commitment to best engineering practices.
• Ability to prioritise, plan and deliver to projects in a timely manner.

Responsibilities

• Design, implement and maintain pipelines for ingestion of new datasets for systematic trading strategies.
• Partner with the Portfolio Manager and senior developers to deploy new trading strategies.
• Maintain and improve trading infrastructure, data visualisations and data validation in a production environment.

Skills

Python

Communication

Collaboration

Data pipelines

Detail oriented

Project planning

Education

1st class undergraduate degree in Computer Science

Tools

CI/CD

Kafka

Airflow

Docker

Job description

Winton is seeking a talented quantitative developer to join the Investment Management & Research group at Winton. You will work within the Fundamental Commodities strategy, designing and building the systems and tools that underpin the firm's trading and research.

Your focus will initially be on software development: adding functionality for new trading strategies and maintaining the existing signal pipeline, with opportunities to contribute to research over time.