Markets- Commodities Systematic Trading-Vice President/Associate-Mumbai

• 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.

• Extensive professional experience in software development, with a strong

• 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.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

• Experience with data analysis techniques along with relevant data science

• Knowledge of database systems (KDB)
• Strong interpersonal and communication skills; ability to collaborate

• Exceptional attention to detail and outstanding work ethic
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering or a

related field