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Description: 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.