Data Science Vice President - Wealth Management

• Partner with product, strategy, and operations teams to identify high-impact opportunities and define measurable outcomes
• Lead end-to-end analytics delivery, including problem framing, measurement design, insight generation, and executive-ready storytelling
• Build and scale machine learning solutions that improve client outcomes, product performance, and operational efficiency
• Develop and refine modeling and trigger capabilities that improve operational processes in a sustainable, scalable way
• Analyze client behavior across segments and products to identify drivers of engagement, outcomes, and portfolio allocation patterns
• Design and operationalize experimentation and test-and-learn frameworks to quantify impact and inform prioritization
• Evaluate client journeys and experience outcomes to identify improvement opportunities and value creation metrics
• Identify and develop high-value artificial intelligence and agentic use cases that elevate analytical productivity and decision quality
• Coach and develop team members through clear standards, feedback, performance management, and career growth support

• Bachelor’s degree in a STEM-related field
• 5+ years of industry experience delivering advanced analytics or data science solutions in a business setting
• 2+ years of people management experience, including coaching, performance management, and team development
• Demonstrated experience leading teams to deliver analytics and machine learning solutions that improve measurable business outcomes
• Demonstrated ability to translate ambiguous business questions into well-defined analytical problem statements and success metrics
• Hands-on experience applying statistical and quantitative techniques (for example, linear regression, logistic regression, decision trees, regularization methods, and feature selection/diagnostics)
• Proficiency in developing analyses using modern data tools and programming (for example, SQL and Python) and working with large datasets
• Experience communicating complex analytical findings to senior stakeholders through clear recommendations and structured narratives
• Demonstrated ability to select appropriately simple or advanced methods based on problem complexity and expected business value, * Experience supporting wealth management, investing, or self-directed investing businesses
• Master’s degree or PhD in a quantitative field (for example, statistics, computer science, economics, or applied mathematics)
• Experience building and scaling experimentation programs (for example, A/B testing, causal measurement approaches, or quasi-experimental design)
• Demonstrated continuous learning in data science and applied machine learning (for example, courses, conferences, or competitions)

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.