Quant Analytics Vice President, Credit Card Analytics

What you'll do

• Lead and develop a team of data scientists and analysts through coaching and career growth support.
• Partner with product and marketing teams to shape credit card acquisition strategies and offer designs.
• Build and deploy predictive models to improve acquisition efficiency and customer experience.
• Deliver end-to-end analyses and scalable reporting to evaluate campaign performance and identify learnings.
• Translate customer journey insights into experiments, strategies, and measurable business outcomes.
• Communicate complex analytical results to senior stakeholders to enable timely and confident decision-making.
• Promote analytics best practices including experimentation discipline, model governance, and continuous improvement.

What we're looking for

• Bachelor’s degree in a quantitative discipline or equivalent practical experience.
• Two years of direct people leadership experience in an analytical function.
• Six years of industry experience devising analytical solutions to business problems using large, complex datasets.
• Proficiency in at least one analytical programming language such as Python, R, or SAS.
• Proficiency with databases and querying, including SQL and modern cloud data platforms.
• Strong analytical and statistical skills with a demonstrated focus on business applications.
• Proven ability to synthesize results into recommendations and communicate effectively to partners and stakeholders.
• Advanced degree in a quantitative discipline (preferred).
• Experience in payments, lending, or credit card economics (preferred).
• Experience applying generative artificial intelligence using APIs and automation workflows to analytics use cases (preferred).