Commodities Systematic Trading - Associate (Mumbai)

JPMC Candidate Experience page
Mumbai, IN

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
  • 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.
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