4 days ago
London, United KingdomEntry Level
Responsibilities
- Design, implement, and maintain pipelines for ingesting datasets used by 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.
- Progress from software development into independently running research projects.
Requirements
- A first-class undergraduate degree in Computer Science is required.
- Postgraduate qualifications are preferred but not required.
- A relevant completed internship or placement and strong Python skills are required.
- Hands-on experience building and deploying data pipelines through internship, academic, or personal projects is required.
- Familiarity with Kafka and Airflow is expected.
- Useful qualifications include exposure to commodity-derivatives trading systems, systematic hedge funds, researchers and portfolio managers, statistical modelling, Dask, and Docker.
- Excellent communication, collaboration, prioritisation, planning, and delivery skills are required.
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.