Quant Analytics Senior associate - Card Data Analaytics

• Execute quantitative analytics to drive credit card portfolio strategy and performance across key metrics including acquisition, activation, spend, retention, and attrition
• Develop innovative analytical solutions and frameworks to address complex business challenges across cobrand partnership programs
• Consult on experimental design and testing strategies in collaboration with partners and internal teams to validate and scale initiatives
• Present findings and actionable recommendations clearly and compellingly to senior management and cross-functional stakeholders
• Maintain rigorous data controls to ensure accuracy, integrity, and compliance across all analytical outputs
• Apply advanced analytical tools and models - including generative AI and segmentation frameworks - to uncover actionable insights
• Collaborate closely with marketing, product, and Data & Analytics teams to align analytical work with broader business priorities
• Optimize rewards structures and cardholder value propositions to enhance customer loyalty and engagement
• Prepare and deliver partner reporting and performance insights to support cobrand relationship management

• Formal training or certification on analytics concepts and 3+ years applied experience
• Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or an advanced degree with relevant analytical experience
• Proficiency in statistical programming languages including Python, R, or SAS, and data querying languages such as SQL
• Experience with modern analytics and data tools including Hive, Hadoop, Spark, Tableau, or Alteryx
• Exceptional analytical and quantitative problem-solving skills with the ability to translate complex data into clear, actionable insights
• Strong communication skills with the ability to convey complex information to both technical and non-technical audiences
• Demonstrated intellectual curiosity and a proactive approach to solving ambiguous business problems
• Familiarity with generative AI concepts and prompt engineering fundamentals

Preferred qualifications, capabilities, and skills

• 3 or more years of experience in the credit card industry, with exposure to cobrand or partnership programs
• Experience with customer segmentation, lifecycle analytics, or rewards optimization strategies
• Familiarity with experimental design methodologies such as A/B testing or champion/challenger frameworks
• Demonstrated ability to influence strategy through data storytelling and executive-level presentations

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, paid in the form of cash and/or forfeitable equity, 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.

Chase is 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.