Quantitative developer supporting energy trading with international commodity trading MNC

About the role

Develop and improve quantitative and algorithmic trading strategies with traders, identify predictive price signals, and optimize trade execution using machine learning, statistics, and market microstructure analysis. Build and back-test models and analytical tools, monitor global markets, and share weekly fundamental research with the trading team. Requires at least three years of quantitative developer experience supporting physical and paper commodity trades, strong Python and VBA skills, and a degree in mathematics, science, engineering, or computer science; quantitative finance study is advantageous. Candidates should bring strong modeling, commercial, analytical, communication, and problem-solving abilities, with knowledge of option risk and market risk measures such as VaR, stress testing, factor analysis, and liquidity analysis.