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.