Quant Analytics Vice President - Card Anlaytics

Shape how a flagship card portfolio is measured, understood, and optimized, turning complex data into clear decisions for senior leaders. You will lead a high-impact agenda, modernize analytics and insight delivery, and partner across Product, Finance, Risk, and Data and Technology to drive measurable results. If you thrive at the intersection of strategy, analytics, and executive influence, you will find strong opportunities for growth and visibility in this role.
As a Quant Analytics Vice President at JPMorganChase within Card Data and Analytics, you will lead the analytics agenda for the Freedom Portfolio supporting the Mass Affluent Cards Business for Chase. You will help set the portfolio strategy, own executive insights and deep-dive on segments, and manage a global team of analysts. You will accelerate insight-to-action delivery by applying advanced analytics and artificial intelligence (AI) in alignment with firm standards and controls to scale repeatable, well-governed solutions.
Job responsibilities
Own the analytics strategy and performance measurement framework for the Freedom Portfolio, aligning success metrics to portfolio objectives and senior leadership decisions
Deliver executive-ready insights and standardized reporting that explain performance drivers, emerging risks, and actionable opportunities
Lead structured deep dives across acquisition, activation, spend, retention, engagement, and profitability, translating analysis into decision-ready recommendations
Serve as a trusted advisor to partners across Marketing, Product, Finance, Risk, and Data and Technology, translating complex analyses into clear options and trade-offs
Drive prioritization across competing initiatives by sizing opportunity, quantifying impact, and defining test-and-learn roadmaps and measurement approaches
Lead and develop a team of five across the United States and India, establishing operating cadence, clear accountability, and consistent standards for analytical rigor and storytelling
Stay hands-on by reviewing methodology, validating assumptions, and ensuring outputs are reproducible, scalable, and well governed
Champion modern tooling and automation to reduce manual reporting, improve speed-to-market, and scale repeatable measurement and targeting solutions
Required qualifications, capabilities and skills
Bachelor’s degree in a quantitative field (for example, computer science, mathematics, engineering, econometrics, or statistics) with 8+ years of relevant experience; or an advanced degree with commensurate experience
Demonstrated track record leading analytics that drives measurable business outcomes and influences senior stakeholders through structured insights and recommendations
Three plus years of people leadership experience, with the ability to deliver results through teams and across functions
Formal training or certification on analytics, data, or quantitative methods, and 8+ years of applied experience in analytics, measurement, or strategy roles
Advanced proficiency in Structured Query Language (SQL) and proficiency in Python and/or SAS (Statistical Analysis System)
Experience working with modern data platforms (for example, Snowflake or Databricks) and delivering scalable analytics and reporting solutions
Strong data visualization and executive storytelling skills using Tableau, Alteryx, or comparable tools
Excellent written and verbal communication skills, with the ability to distill complex analytics into crisp narratives for technical and non-technical audiences
Preferred qualifications, capabilities and skills
Experience owning portfolio performance frameworks, executive dashboards, and measurement standards in a marketing and/or card portfolio setting
Experience scaling analytics programs through automation, reusable frameworks, standardized metric definitions, and robust documentation
Exposure to applied artificial intelligence and automation to modernize analytics workflows, paired with a strong governance and control mindset
Strong cross-functional delivery experience across Marketing, Product, Finance, Risk, and Data and Technology teams

Skills
Python, SQL, Snowflake, Databricks, Artificial Intelligence, Tableau, Documentation