Quantitative Developer - Python (Commodities)

Company Insight

Are you passionate about leveraging cutting-edge technology and scientific data-driven strategies to revolutionize the world of investment management? A global-leading quantitative and systematic hedge fund is on the lookout for a talented quantitative developer to join their dynamic Commodities trading team. You will impact the business at the highest level, contributing towards delivering high-quality returns for investors in crucial global markets through technological innovation and the building of industry-leading trading systems.

Make sure to apply quickly in order to maximize your chances of being considered for an interview. Read the complete job description below.

Role Responsibilities

• Develop ETL pipelines to integrate and test large alternative datasets for the Commodities trading desk, working in close collaboration with quant researchers and data engineering teams.
• Architect, deploy, and manage cloud-based systems for storing and exploring vast alternative datasets in collaboration with the AWS infrastructure team.
• Monitor, support, debug, and extend existing Commodities trading and research infrastructure alongside Researchers and Support Engineers.

Requirements

• Elite proficiency in Python, especially in numerical libraries such as numpy, pandas, and matplotlib.
• Basic knowledge of AWS and databases (e.g., SQL).
• Familiarity with development practices including version control with Git, unit testing, etc.
• A quantitative mindset and a collaborative attitude.
• Experience with data visualization software (e.g., Tableau, Dash) and creating dashboards is a plus.

Desirable

• Advanced knowledge of AWS services (e.g., DynamoDB, RDS, S3, Lambda, AWS CDK).
• Expertise in databases, including query optimization and understanding relational vs. non-relational databases.
• Experience with parallel computation and geographic data using geopandas, xarray.
• Financial knowledge is a plus, but not mandatory.