You can help shape how data and AI drive decisions across our Co-Brand Credit Card business. You will work on high-impact problems end-to-end—translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.

As a Quantitative Analytics Vice President at JPMorganChase within the Co-Brand Card Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.

Job responsibilities

• Leverage experience and analytical skills to uncover novel use cases of big data analytics, including opportunities to responsibly apply foundation models and Generative AI
• Drive data science and analytics strategies, including recommendations on analytical products and standards
• Help partners define business problems and scope analytical solutions
• Build an understanding of problem domains and available data assets
• Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
• Perform exploratory statistics and data mining tasks on diverse datasets
• Communicate findings and obstacles to stakeholders to drive delivery to market
• Develop subject matter expertise in financial and operational domains
• Code solutions using strong programming skills
• Collaborate across teams to deliver the best solutions for clients

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience
• Exceptional analytical, quantitative, problem-solving, and communication skills
• Intellectual curiosity for solving business problems
• Leadership and collaboration skills
• Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)
• Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
• Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
• Ability to convey complex information to technical and non-technical audiences

Preferred qualifications, capabilities, and skills

• Experience with large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for quality, cost, and latency
• Understanding of key drivers within the credit card profit and loss statement
• Financial services background
• Master of Science degree or equivalent