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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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As the Data Science Vice President - Wealth Management, you will lead a team within Wealth Management Decision Sciences to deliver insights and machine learning solutions that improve client outcomes, product performance, and operational efficiency. You will partner with product, strategy, and operations leaders to frame problems, define success measures, and provide executive-ready storytelling for investment decisions. Your daily work involves building scalable modeling capabilities, designing experimentation frameworks, and identifying artificial intelligence and agentic use cases to enhance decision quality. You will utilize SQL, Python, and advanced statistical techniques including linear regression, logistic regression, decision trees, and regularization methods while managing large datasets. The role focuses on the wealth management domain, specifically analyzing client behavior across segments to identify drivers of engagement and portfolio allocation patterns while translating ambiguous business questions into well-defined analytical problem statements.
Lead a team to deliver insights and machine learning solutions that improve client outcomes and operational efficiency.
Partner with product and strategy leaders to frame business problems into measurable analytical goals.
Deliver end-to-end analytics including problem framing, measurement design, and executive-ready storytelling.
Build and scale machine learning models and trigger capabilities to optimize business processes.
Analyze client behavior across segments to identify drivers of engagement and portfolio allocation patterns.
Design and operationalize experimentation frameworks to quantify impact and inform strategic prioritization.
Identify and develop high-value artificial intelligence and agentic use cases to improve decision quality.
Coach and develop team members through performance management and career growth support.
What we're looking for
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 and performance management.
Demonstrated experience leading teams to deliver analytics and machine learning solutions that improve measurable business outcomes.
Ability to translate ambiguous business questions into well-defined analytical problem statements and success metrics.
Hands-on experience with statistical techniques like linear regression, logistic regression, decision trees, and feature selection.
Proficiency in SQL, Python, and working with large datasets.
Experience communicating complex findings to senior stakeholders through clear recommendations (preferred); Master's or PhD in a quantitative field (preferred).