Commodities Systematic Trading Associate (Mumbai)

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. This Developer will work as part of our teams in Mumbai with a focus on commodities markets. The individual must be responsible independent driven and able to work in smooth coordination with a global team with an aim to spearhead a local team. The environment is fast-paced dynamic and highly collaborative within a globally distributed group.

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
• Bachelors or Masters 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.