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Product Manager II, Senior Associate - Deposit Pricing

JPMorgan Chase
Columbus, OH Full Time
POSTED ON 1/2/2025
AVAILABLE BEFORE 3/1/2025

Unleash your expertise in analytics with the Deposit Pricing Team, who is responsible for setting the interest rates on all deposit accounts (e.g., checking, savings and CDs) within the retail line of business at JPMorgan Chase, which has the largest deposit base amongst all banks in the United States.

As a Product Analyst in the Consumer Bank’s Core Financial Products and Deposit Pricing team, you will be responsible for deposit based strategic analytics to help inform deposit pricing strategy. You will also be responsible for end-to-end analytics that answer challenging strategic questions and drive pricing and product decisions.

Job Responsibilities:

  • Own strategic analytics to determine impacts of potential pricing actions with a specific focus on certificates of deposit and money movement
  • Independently pull data from internal data sources using SAS or SQL; assess and maintain data and process integrity
  • Clearly and concisely communicate analytics findings to senior leaders through data visualization and storytelling
  • Closely partner with strategy leads on the team as well as finance, field, marketing, risk, and product partners
  • Understand nuances in the data and processes while effectively communicating those to partners
  • Stay informed of competitor changes to deposit products and pricing structure, and broader industry trends

Required qualifications, capabilities, and skills:

  • 3 years in data & analytics or similar role
  • Advanced Excel, PowerPoint, and SQL skills
  • Proven ability to query large amounts of data to solve highly complex problems
  • Bachelor’s degree in a quantitative or related field
  • Demonstrate a confidence and passion around using data and analytics
  • Ability to thrive in a fast-paced environment
  • Strong verbal and written communication and presentation skills

Preferred qualifications, capabilities, and skills:

  • Experience with other analytics languages or tools such as SAS, Python, Tableau, Teradata, or Alteryx
  • Background in financial services industry

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