VP, Data Science & Wealth Analytics

JPMorgan Chase & Co.; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Data Science Lead in Wealth Management Decision Sciences to lead analytics and machine learning initiatives, partnering with product, strategy, and operations to drive measurable outcomes.

This role combines hands-on modeling with people leadership to deliver impactful insights and scalable capabilities across wealth management, risk, and client engagement.

Qualifications

• Bachelor's degree in a STEM field and 5+ years in advanced analytics.
• 2+ years of people management experience.
• Experience leading data science teams delivering analytics and ML solutions.
• Ability to translate ambiguous questions into defined analytical problems.
• Strong business acumen and executive storytelling.
• Hands-on experience with SQL, PySpark, and notebooks.
• Awareness of ML/AI applications and appropriate use cases.
• Excellent communication and stakeholder influence.

Responsibilities

• Collaborate with product, strategy, and operations to provide analytical support for wealth management initiatives.
• Lead end-to-end analytics delivery from problem framing to senior stakeholder communication.
• Develop ML and analytics capabilities to improve operations and client outcomes.
• Operationalize experimentation frameworks to quantify impact and inform prioritization.
• Identify high-value AI and agentic use cases to boost productivity and decision quality.

Skills

Data science leadership

Team management

Machine learning

Statistical analysis

Data visualization

SQL / PySpark

Communication

Problem framing

Education

BS Degree in STEM

Tools

SQL

PySpark

Jupyter Notebooks

Job description

JPMorgan Chase & Co. in New York seeks a Data Science Lead in Wealth Management Decision Sciences to lead analytics and machine learning initiatives, partnering with product, strategy, and operations to drive measurable outcomes.

This role combines hands-on modeling with people leadership to deliver impactful insights and scalable capabilities across wealth management, risk, and client engagement.