Quantitative Developer - Commodities (Python)

We are a technology and data driven group implementing a scientific approach to investing. Our culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will join a front-office quantitative development team that works closely with Researchers and Traders in QRT’s global Commodities business.

Requirements

• Significant experience with Python in a production environment
• Strong knowledge of Python numerical libraries (e.g. numpy, pandas, xarray)
• Front-office financial experience and a strong quantitative mindset
• Experience developing ETL pipelines and working with structured/unstructured data
• Familiarity with PostgreSQL or other relational databases
• Experience with infrastructure-as-code and cloud platforms (AWS preferred)
• Working knowledge of software development best practices (Git, testing, packaging)
• Willingness to develop UI components or work with data visualisation libraries
• Experience with data visualisation frameworks (e.g. Plotly, Dash, Streamlit, htmx) is desirable
• Advanced AWS experience (e.g. Lambda, S3, DynamoDB, AWS CDK) is beneficial
• In-depth database optimisation and knowledge of relational vs non-relational models is advantageous
• Exposure to parallel or distributed computing is a plus
• Modelling experience or previous Commodities domain knowledge (especially Metals or Agriculture) is desirable

Benefits

• Initiatives and programs to enable employees achieve a healthy work-life balance