Senior Associate Quant Analytics, Card Data Analytics

What you'll do

• Execute quantitative analytics to drive credit card portfolio performance across acquisition, spend, and retention metrics.
• Develop innovative analytical solutions and frameworks to address complex business challenges in cobrand partnership programs.
• Consult on experimental design and testing strategies to validate and scale new initiatives.
• Present actionable recommendations and findings clearly to senior management and cross-functional stakeholders.
• Maintain rigorous data controls to ensure accuracy, integrity, and compliance across all analytical outputs.
• Apply advanced models, including generative AI and segmentation frameworks, to uncover actionable insights.
• Optimize rewards structures and cardholder value propositions to enhance customer loyalty and engagement.
• Prepare and deliver performance insights to support cobrand relationship management and reporting.

What we're looking for

• Bachelor's degree in a quantitative field or an advanced degree with relevant analytical experience.
• Formal training or certification on analytics concepts and 3+ years of applied 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 to translate complex data into actionable insights.
• Strong communication skills to convey complex information to both technical and non-technical audiences.
• Familiarity with generative AI concepts and prompt engineering fundamentals.
• 3 or more years of experience in the credit card industry, with exposure to cobrand or partnership programs (preferred).