Quantitative Software Engineer (DV Commodities)

About the role

Build and maintain quantitative trading tools, backtesting frameworks, energy-market fundamental models, and analytics in collaboration with traders, quants, and engineers. Develop data pipelines and storage systems, integrate tools with trading and risk platforms, and monitor, document, and improve solutions based on trader feedback. Requires a bachelor's degree or higher in a quantitative discipline and at least two years of professional experience building quantitative tools, models, or analytics in finance or commodities. Candidates should have strong Python, statistics, time-series, data-pipeline, database, visualization, software design, Unix, and Git skills; energy-market knowledge and experience with Java or C++ and tools such as Kafka, Docker, Airflow, or Luigi are advantageous.