About the role
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.