Data Scientist Lead - Business Banking Lending - Vice President

JPMorganChase • Columbus, OH

4d

About The Position

The Data Scientist Lead partners with Lending Strategy, Product leaders, and other business stakeholders to develop analytics and insights that support decisions across the business lending lifecycle. The role frames high-impact business questions, defines measurement approaches, builds and validates datasets, and translates complex findings into actionable recommendations for senior leaders.

The position establishes repeatable KPI and reporting frameworks with strong documentation and controls, delivers benchmarking and peer comparisons where relevant, and develops scalable analytical solutions to improve performance monitoring and support customers and bankers. It also helps deepen understanding of customer behavior, identify growth and experience opportunities, and inform the evolution of lending products while maintaining data quality and governance.

Requirements

• Bachelor’s degree in a quantitative field such as Computer Science, Engineering, Statistics, Economics, or a related discipline.
• 5+ years of experience in advanced analytics roles.
• Strong SQL skills and experience with modern analytics programming such as Python or R for data querying, transformation, analysis, and validation.
• Proficiency in statistical analysis and product/customer analytics methods, such as hypothesis testing, predictive modeling, and experimentation or measurement design.
• Ability to translate ambiguous business questions into structured analytical approaches and actionable recommendations, with clear, executive-ready storytelling.
• Ability to work cross-functionally in a dynamic product environment, align stakeholders, and drive decisions.

Responsibilities

• Build strong relationships with Product Managers and functional partners in Operations, Risk, Controls, Finance, and Technology.
• Own analyses and reporting end to end, from problem framing and data sourcing through analysis or modeling, insights, and stakeholder review.
• Translate complex findings into clear, non-technical summaries and recommendations for senior stakeholders.
• Connect business context and rationale to data, assumptions, and trade-offs.
• Define and maintain KPI logic and documentation to support auditability and consistent measurement.
• Identify opportunities to improve measurement, automation, and analytical workflows, including AI-assisted approaches where appropriate.
• Deliver benchmarking, peer comparisons, and reporting that support leadership decisions.
• Build scalable analytical solutions that improve performance monitoring and support customers and bankers.

What This Job Offers

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