Data Science Vice President Card Data Analytics

You can help shape how data and AI drive decisions across our Credit Card business. You will work on high-impact problems end-to-endtranslating 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 Data Science Vice President at JPMorganChase within the Card Data & 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
• Bachelors 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