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We are an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on quantitative modeling within Community and Consumer Banking (CCB) at JPMorgan Chase & Co. The team answers complex and unique questions, utilizing cutting edge quantitative and computational techniques and leveraging one of the world’s largest repositories of consumer data. We work closely with our partners throughout JPMorgan Chase to assess and execute critical business decisions.
As a Data Domain Architect - Vice President in the Finance Decision Optimization group, you will actively collaborate with various stakeholders and functional teams to determine data and model requirements for constructing data pipelines and compiling complex predictive and optimization routines into executable Python packages for prototype QA testing and production deployment. This role provides an opportunity to apply your data science, data engineering, and Python machine learning application development skills in a dynamic and competitive environment. Our team values precision and effective execution, and we look forward to your valuable contributions.
Job responsibilities
Required qualifications, capabilities and skills
Preferred qualifications, skills and capabilities
This role is not a remote position and does not have a relocation allowance tied to it, so all candidates must be local to Columbus or willing to relocate on their own immediately upon hiring.
Candidates must be able to physically work in our Columbus, OH office 3 days a week and remotely from home 2 days per week. The specific hybrid schedule will be determined by direct management.
#LI-HYBRID
Full Time
$107k-131k (estimate)
05/06/2024
07/04/2024