Data Science Lead, Wealth Management & AI Insights

JPMorgan Chase & Co.; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. in New York is seeking a Data Science Lead in Wealth Management Decision Sciences to guide analytics and ML initiatives that boost client outcomes and operational efficiency.

You will frame problems with product, strategy, and operations, deliver actionable recommendations to senior leaders, and drive scalable analytics across risk, portfolio, and client engagement using descriptive to advanced modeling.

Qualifications

• BS Degree in an applicable STEM field; 5+ years of analytics experience are expected.
• 2 years of people management experience including coaching and team development.
• Led teams of data scientists to deliver analytics and ML solutions that improve business performance.
• Right-size analytical approaches from descriptive analytics to ML/AI-based decisioning.
• Strong business acumen and ability to translate ambiguous questions into well-defined problems and metrics.
• Hands-on experience with statistical techniques (e.g., decision trees, regression, look-alike modeling).
• Coach a team on computational aspects of big data and statistical models while solving problems, not just boosting model curves.
• Stay current with ML/AI applications and apply the right approach for each challenge.
• Strong communication skills with executive-ready storytelling.

Responsibilities

• Collaborate with product, strategy, and operations teams to provide analytical support for wealth management initiatives and decision-making.
• Apply statistical methods and AI-assisted approaches to solve business problems across product, financial, client engagement, and operations outcomes.
• Lead end-to-end analytics delivery from problem framing and measurement design to insight communication to senior stakeholders.
• Develop analytics approaches for ML and trigger capabilities to improve operations in a scalable, sustainable way.
• Analyze client usage across risk segments to understand relationships between risk appetite and portfolio allocations.
• Operationalize experimentation frameworks to evaluate enhancements, quantify impact, and inform prioritization.
• Assess client experience and journey outcomes, including AI-enabled discovery, to identify improvement opportunities and measurable value creation.
• Identify and develop high-value AI and agentic use cases to improve analytical productivity and customer outcomes.

Skills

Leadership

Statistical analysis

Machine learning

Communication

SQL / PySpark

Problem framing

Visualization

Education

BS Degree in STEM

Tools

SQL

PySpark

Jupyter Notebooks

Python

Job description

JPMorgan Chase & Co. in New York is seeking a Data Science Lead in Wealth Management Decision Sciences to guide analytics and ML initiatives that boost client outcomes and operational efficiency.

You will frame problems with product, strategy, and operations, deliver actionable recommendations to senior leaders, and drive scalable analytics across risk, portfolio, and client engagement using descriptive to advanced modeling.