Quantitative Developer - Commodities- Systematic Quant Fund
Oxford Knight
Application
Details
Posted: 19-Jun-24
Location: London, United Kingdom
Type: Full-time
Internal Number: 20941539
My client is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. A technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped the collaborative mindset, enabling them to solve the most complex challenges. They have a culture of innovation which continuously drives their ambition to deliver high quality returns for investors.
The role:
Develop ETL pipelines to integrate and test very large alternative datasets for the Commodities desk in collaboration with quant researchers and data engineering teams.
Architect, deploy and manage cloud-based systems for storing and exploring very large alternative datasets in collaboration with the AWS infrastructure team.
Monitor, support, debug and extend existing Commodities trading and research infrastructure together with Researchers and Support Engineers.
Requirements:
Comfortable in Python, in particular numerical libraries - numpy, pandas, matplotlib, etc.
Basic knowledge of AWS.
Basic knowledge of databases (e.g. SQL).
Development practices - version control with Git, unit testing, etc.
A quantitative mindset.
Team player and collaborative attitude.
Nice to have:
Experience creating dashboards or using data visualization software (e.g. Tableau, Dash).
