* 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 solid
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.
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.
We recognize that our people are our strength and the di