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 skilled experience in software development, with a robust 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)




Robust 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.

📌 Markets Commodities Systematic Trading Associate Mumbai
🏢 JPMorganChase
📍 Mumbai