Join our team to elevate your career in quantitative analytics and drive sustainable growth in the credit card business.

As a Quant Analytics Associate within the Card Data and Analytics team, you will leverage your expertise in data engineering, analysis, and modeling to enhance credit card acquisition forecasts and offers. You will work with industry-leading brands and emerging partnerships to contribute to the growth of our credit card portfolio.

Job Responsibilities:

Provide tactical support and strategic oversight to Product, Marketing, Finance, and Risk teams for credit card acquisitions.Develop and communicate actionable data-driven insights for marketing campaigns.Leverage and develop data assets to improve acquisitions forecast quality.Support business goals by developing reports for senior leaders to monitor key performance metrics.Enhance efficiency and effectiveness by identifying and closing gaps in processes and systems.Ensure business continuity by driving the adoption of standards and best practices.Stay current with industry trends and emerging technologies.

Required Qualifications, Capabilities, and Skills:

A degree in a quantitative discipline (e.g., engineering, mathematics, computer science).4+ years of professional experience in data/decision science, forecasting, data management/engineering, or business intelligence.Proficiency in data ETL, analysis, visualization, and change management using tools like Snowflake, SAS, Python, R, Alteryx, Tableau, GitHub, Excel, and PowerPoint.Ability to communicate clearly and effectively to audiences of varying technical levels.

Preferred Qualifications, Capabilities, and Skills:

Experience with causal inference and machine learning techniques, including developing and deploying quantitative models.Professional experience in consumer banking, lending, or similarly regulated industries.