Markets- Commodities Systematic Trading-Associate-Mumbai

JPMorgan Chase & Co.; Mumbai; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

JPMorgan Chase & Co. in Mumbai seeks an experienced software developer focusing on python-based quantitative tools for our commodities risk systems.

You will build and maintain tools, UIs and frameworks supporting systematic risk taking and alpha research, and collaborate closely with traders to improve models. The role requires strong data analysis skills, familiarity with numpy/pandas, and experience with KDB databases, dashboards (dash/panel) and git for collaboration.

Qualifications

• Extensive professional experience in software development with a strong focus on Python.
• Experience with data analysis techniques using numpy/pandas 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.

Responsibilities

• Build and maintain tools, UIs and frameworks supporting systematic risk taking in 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.

Skills

Python

Data analysis

Numpy

Pandas

Dash

Panel

Interpersonal communication

Education

Bachelor’s or Master’s degree in Computer Science / Computer Engineering or related field

Tools

Git

KDB

Job 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 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.