Quant Analytics Executive Director - Card Data Analytics

Job Responsibilities

You will lead the Lending and Installment Analytics team to deliver insights and decisioning that optimize portfolio growth, customer value, and credit performance across installment and revolving lending.

You will build orchestration frameworks that unify channel, product, and lifecycle decisioning to enable consistent "next best action" and "next best product" recommendations across key touchpoints.

You will translate customer journey insights into product strategy by mapping end-to-end journeys (origination through retention) and identifying friction, drop-offs, and value moments.

You will partner with Product, Marketing, Risk, Finance, and Operations to set a shared analytics vision and deliver against strategic priorities across growth, engagement, losses, economics, and customer experience.

You will drive product economics and financial modeling, including contribution margin, cohort economics, lifetime value, loss forecasting, and sensitivity analysis to inform investment decisions.

You will define modeling strategy and guide teams building propensity, uplift, eligibility, and lifecycle behavior models with strong validation, monitoring, and governance.

You will guide lifecycle targeting and decisioning (pre-origination through servicing) across approval and eligibility, line assignment, pricing, term selection, and retention strategies.

You will scale experimentation in partnership with a testing center of excellence by defining hypotheses, test design, success metrics, and causal measurement approaches.

You will establish best-in-class measurement approaches (attribution and incrementality) appropriate for lending contexts to separate true lift from correlation.

You will operationalize insights through decision engines, real-time personalization, and optimization while ensuring responsible use and strong model risk management practices.

Required Qualifications, Capabilities, And Skills

• 8+ years of experience in analytics, data science, or quantitative strategy roles within lending, credit, or consumer financial products
• 5+ years of experience leading and developing high-performing analytics teams, including people leadership and talent development
• Demonstrated experience driving portfolio growth and credit performance using data-driven decisioning across the customer lifecycle
• Demonstrated ability to translate customer journey insights into product strategy and prioritized roadmaps with measurable outcomes
• Demonstrated experience with experimentation design and causal measurement, including hypothesis development, test design, and evaluation
• Demonstrated experience building and using product economics models (for example, contribution margin, cohort economics, lifetime value, and loss forecasting) to support investment decisions
• Demonstrated experience partnering cross-functionally with Product, Marketing, Risk, Finance, and Operations to deliver shared outcomes
• Strong executive communication skills, including structured tradeoffs, clear recommendations, and crisp storytelling grounded in data
• Working knowledge of model governance, monitoring, and responsible use expectations for analytics in regulated environments

About Us

We are a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Our Team

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.