J.P. Morgan is seeking a Trader support to join our Commodities Systematic Trading team. The candidate will be embedded in our cross market systematic effort which touches portion of alpha generation, e-trading, and data science and machine learning.
As an Analyst within the Commodities Systematic Trading team, you will focus on commodities markets. The ideal candidate should be responsible, independent, and driven, with the ability to work seamlessly with a global team and the potential to lead a local team. The environment is fast-paced, dynamic, and highly collaborative within a globally distributed group.
Job 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.