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Quant Analytics Vice President Voice Product Analytics

JPMorgan Chase & Co.

Company : JPMorgan Chase & Co.

Location : Wilmington, DE, 19805

Posted Date : 15 October 2025

Job Type : Other

Category : Management

Occupation : Vice President

Job Details

Quant Analytics Vice President

Join our team as a Quant Analytics Vice President and lead initiatives that enhance customer experiences and optimize operating expenses. This role offers career growth and the opportunity to develop innovative strategies and advanced analytics solutions.

As a Quant Analytics Vice President in the Voice Product Analytics within Voice Product Analytics team, you will lead initiatives focused on improving the customer experience and reducing operating expenses for product groups. You will be involved in all phases of the analytics lifecycle, including documenting data lineage, analysis scoping, data development, hypothesis development, data analysis, generating insights, developing, and delivering presentations of findings. You will derive insights about our customer's journeys, develop and implement innovative strategies and advanced analytics solutions, then tell the story in an effective manner. Collaborate across functions and LOBs to drive analytics and insights, leveraging a variety of analytical applications to interpret trends and patterns in complex data sets. Mentor and develop a small team of both onshore and offshore associates.

Job Responsibilities:

  • Lead partnerships with our product groups to build understanding of business drivers and underlying data.
  • Structure and lead execution of KPIs, trend analysis, dashboards, and analyses including segmentations, optimizations, and other techniques to improve business performance.
  • Collaborate across functions and LOBs to drive analytics and insights.
  • Import, clean, transform, and validate data from multiple sources in preparation for analytics.
  • Analyze customer interactions and events across a variety of channels (calls, branch, online, mobile) to better understand customer journeys and friction points.
  • Contribute to business cases, construct A|B test designs, and identify populations for pilot programs; analyze program performance and derive insights to help inform future customer strategies.
  • Leverage a variety of analytical applications (SQL, R, Python, Alteryx, Tableau, Adobe Analytics etc.) to describe, analyze, and interpret trends and patterns in complex data sets.
  • Prepare and deliver presentations summarizing insights and conclusions that remove the noise from data and highlight useful information, allowing leadership to make evidence-based decisions.
  • Partner closely and collaborate with data management teams, strategy teams, and other analytics resources across multiple functional teams.
  • Mentor and develop a small team of both onshore and offshore associates.

Required Qualifications, Capabilities, and Skills:

  • 7+ years of experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
  • Bachelor's degree in a quantitative or related field.
  • Skilled using SQL, Python, Alteryx, Tableau, and Adobe Analytics.
  • Self-sufficiency in querying and extracting data from Enterprise databases.
  • Robust analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Have a demonstrated ability to think both independently and collaboratively to implement creative solutions that solve business problems, being diligent in the detail while maintaining focus on broader purpose and business objectives.

Preferred Qualifications, Capabilities, and Skills:

  • Master's degree and/or PhD in relevant field preferred.
  • Proven experience in management and leadership, demonstrating strong team-leading abilities.
  • Experience with Machine Learning, AI, and Cloud environments (AWS, Snowflake) preferred.

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