Quant Analytics Senior associate - Card Data Analaytics

JPMorgan Chase & Co. • Wilmington, DE

2d • $99,750 - $165,000

About The Position

As a Quantitative Analytics Senior Associate within JPMorganChase Card Data & Analytics, you will deliver quantitative insights that shape strategies across co-brand credit card partnerships. Your work will inform acquisition, engagement, retention, rewards optimization, partnership strategy, cardholder value, and customer experience, with visibility to senior leadership. You will work collaboratively in a fast-paced team to use analytical expertise to drive business outcomes.

The CCB Data & Analytics team uses data responsibly to build competitive advantages for the business while providing value and protection for customers. Its disciplines include data governance and strategy, reporting, data science, and machine learning, supported by a close partnership with Technology.

Requirements

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

Nice To Haves

• At least 3 years of credit card industry experience, with exposure to co-brand or partnership programs.
• Experience with customer segmentation, lifecycle analytics, or rewards optimization strategies.
• Familiarity with experimental design methods such as A/B testing or champion/challenger frameworks.
• Ability to influence strategy through data storytelling and executive-level presentations.

Responsibilities

• Execute quantitative analytics to drive credit card portfolio strategy and performance across acquisition, activation, spend, retention, and attrition.
• Develop analytical solutions and frameworks to address business challenges across co-brand partnership programs.
• Consult on experimental design and testing strategies with partners and internal teams to validate and scale initiatives.
• Present findings and actionable recommendations to senior management and cross-functional stakeholders.
• Maintain data controls to ensure the accuracy, integrity, and compliance of analytical outputs.
• Use advanced analytical tools and models, including generative AI and segmentation frameworks, to uncover actionable insights.
• Collaborate with marketing, product, and Data & Analytics teams to align analytical work with 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 co-brand relationship management.

Benefits

• Competitive total rewards package, including base salary and, for eligible roles, commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior