Junior Quantitative Analyst – Energy & Commodity Trading

About the role

Extract, transform, and analyze large datasets using SQL and Python, and maintain, validate, and improve quantitative models supporting risk, trading, and operations. Develop Power BI dashboards and reports, interpret complex data for decision-making, document models and processes, and collaborate with IT on implementations and improvements. A bachelor's or master's degree in engineering, mathematics, statistics, physics, or a related discipline is required, along with strong Python and SQL skills, data visualization experience (preferably Power BI), and a solid foundation in statistics and quantitative methods. Excellent English is required; experience in quantitative, risk, or data analysis and familiarity with energy, financial, or commodity markets are advantages.