Role responsibilities: • Build and maintain tools, UIs and frameworks supporting our systematic risk taking in our commodities trading businesses. • Build and maintain systematic strategies and performance monitoring and attribution systems. • Enhance the robustness and integration of the tools and models within the wider asset class efforts. • Process, clean and analyse large datasets used in the context of alpha research. • Work closely with traders to learn, understand and improve relevant tools and models. Required qualifications, capabilities and skills: • Extensive professional experience in software development, with a strong focus on Python • Experience with data analysis techniques along with relevant data science libraries (numpy, pandas, etc.) and visualization tools (dash, panel) • Knowledge of database systems (KDB) • Strong interpersonal and communication skills; ability to collaborate effectively with traders, quantitative researchers and software developers • Exceptional attention to detail and outstanding work ethic • Bachelor’s or Master’s degree in Computer Science, Computer Engineering or a related field Preferred qualifications, capabilities and skills: • Knowledge of futures (commodities a plus) and how • Experience with systematic / quant research at any velocity (high, medium, low). • Proficiency in Python. • Experience working collaboratively on common codebases using git • Experience in data cleaning, processing, and migration.