Quantitative Analytics Associate - Co-brand Card Data Analytics

Join a team where your analyses directly influence partnership strategy and cardholder experiences. You will turn complex portfolio signals into clear insights that help improve engagement, optimize rewards, and strengthen long-term customer relationships. As a Quantitative Analytics Associate at JPMorganChase within the Co-brand Credit Card Analytics team, you will develop and execute analytical plans to understand and improve portfolio performance across the customer lifecycle—from acquisition and activation to retention and attrition. You will partner closely with product, marketing, finance, operations, and data teams to align insights to business priorities. Your work will be highly visible and used to inform partnership strategy, value proposition decisions, and customer experience enhancements. Job responsibilities Execute analytics to assess and improve portfolio performance across acquisition economics, spend, engagement, retention, and attrition Develop measurement approaches to identify key drivers of performance and quantify opportunity size Translate analytical findings into actionable recommendations for partnership strategy, rewards optimization, and customer experience enhancements Build and maintain recurring partner reporting and performance narratives for senior stakeholders Present insights and recommendations to senior management and partner executives in clear, decision-ready formats Partner with cross-functional teams to align analyses to business priorities and drive outcomes Maintain a rigorous controls environment by ensuring data accuracy, documentation, and adherence to data governance standards Automate and scale analytics using modern tools to improve efficiency, repeatability, and reliability Required qualifications, capabilities and skills Bachelor’s degree in a quantitative field and 2+ years of applied data analytics experience, or an advanced degree and two years of applied experience Advanced proficiency in SQL and experience working with large, complex datasets Experience using statistical and analytics tools (Python, R, or SAS) to conduct analysis and communicate insights Strong analytical, quantitative, and problem-solving skills with the ability to structure ambiguous business questions into testable analyses Demonstrated ability to communicate complex information clearly to technical and non-technical audiences Strong stakeholder management skills, including experience influencing decisions through data-driven recommendations Proven collaboration skills and ability to work effectively across teams and levels of seniority High attention to detail and a controls mindset, with experience ensuring accuracy and compliance in analytics outputs Preferred qualifications, capabilities and skills Experience in credit card analytics, consumer lending, or payments Experience supporting co-brand partnerships, loyalty, or rewards analytics Experience with visualization and big data tools (for example, Tableau, Spark, or Hadoop)