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Quant Analytics Senior associate - Card Data Analaytics

JPMorgan Chase
Wilmington, USA
Full-time
Senior · 3+ years experience
Onsite
Discovered 4 weeks ago
alteryxhadoophivepythonsasspark

Full Job Posting

Job responsibilities

  • 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

Required qualifications, capabilities, and skills

  • 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

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