Live opening · Posted 4 days ago

Business Banking Product Quant Analytics Associate Sr

JPMorgan Chase · Columbus, OH, United States
Oracle
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At a glance

The key details from the original listing.

Posted 4 days ago
CompanyJPMorgan Chase
LocationColumbus, OH, United States
SourceOracle
Listed4 days ago

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About the role

Description supplied by the original job listing.

As a member of the Business Banking Deposit & Cash Management Product Analytics team, you will play a pivotal role in providing data driven insights to product managers that will ultimately impact millions of small business customers. This team directly supports Deposit products (Checking, Savings, CDs) and Cash Management products (such as ACH, Remote Check Deposit, Positive Pay, etc.). You will be assigned to support product managers where you will act as a consultant to understand business problems, build the framework for the best data driven solution, run the analysis, and then review results with partners. Your work will help us better understand customer behaviors, identify opportunities, and improve customer engagement and operational efficiency. Your ability to engage with stakeholders and technical and business partners will be key in delivering strong analytic data solutions. You will directly contribute to developing new banking products, modifying existing banking products, establish and running proper controls, and running benchmarking with third party companies.
Job Responsibilities
Create a strong relationship with product managers and functional partners
Own the development and execution of analyses and reports from end to end
Be able to summarize data results in a non-technical manner for business partners
Ability to think from a business standpoint and how that related to data
Familiarity with banking products a plus: Deposit (Checking, Savings, CDs) and Cash Management (ACH, Remote Check Deposit, Positive Pay, etc.)
Required qualifications, capabilities, and skills.
Bachelor’s degree in relevant quantitative discipline with a focus on data engineering, data warehousing, computer science and/or data-driven analytics
Minimum 3 years of experience in quant analytics
Demonstrated advanced SQL skills is a must, such as: conduct data transformation, data discovery, validate, de-duplicate, aggregate, unveil edge cases, and transform data structures
Experience working across multiple database platforms, both on premises, such as Teradata, Oracle, as well as on Cloud solutions such as AWS and Snowflake
Clear communication and presentation skills, with the ability to articulate complex issues concisely
Strong organizational skills, keen attention to detail, structured approach to writing code and creating comprehensive documentation

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