Commodities Systematic Trading - Associate (mumbai)

JPMorgan Chase · Banking · Mumbai, Maharashtra, India · Commercial & Investment Bank

This role supports a Commodities Systematic Trading team, focusing on alpha generation, e-trading, and data science/machine learning within financial markets. Responsibilities include building and maintaining tools, UIs, and frameworks for systematic risk-taking, developing systematic strategies and performance monitoring systems, enhancing tool robustness, processing and analyzing large datasets for alpha research, and collaborating with traders. Requires strong Python and data analysis skills, database knowledge (KDB), and excellent communication. Preferred qualifications include experience in systematic/quant research and data cleaning/processing.

What you'd actually do

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.

Skills

Required

Python
data analysis techniques
numpy
pandas
dash
panel
KDB
interpersonal and communication skills
collaboration
attention to detail
work ethic
Computer Science
Computer Engineering

Nice to have

futures
systematic / quant research
Python
git
data cleaning
processing
migration

What the JD emphasized

strong focus on Python
data analysis techniques
database systems (KDB)
systematic / quant research

Other signals

data science and machine learning
alpha generation
systematic strategies
performance monitoring and attribution systems
large datasets used in the context of alpha research

Read full job description

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.

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.