Quantitative Developer - Python

About the role

Develop and maintain Python applications, quantitative tools, and data pipelines supporting commodity trading, research, pricing, backtesting, risk analysis, and PnL reporting. Collaborate with researchers, traders, data engineers, and infrastructure specialists to build cloud-based solutions, apply statistical and machine learning methods, automate workflows, and improve system reliability. Applicants need at least two years of professional software development experience, strong Python or another object-oriented language skills, and experience with software design, data analysis libraries, SQL, databases, and data pipelines. Familiarity with cloud platforms, infrastructure as code, Git, testing, packaging, and AI coding tools is expected; quantitative skills and an interest in financial markets are also required, while commodities experience and several advanced tools are advantageous.