Wealth Management Data Science Lead

JPMorgan Chase & Co.; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. in New York seeks a Data Science Lead in Wealth Management Decision Sciences to lead a team delivering insights and machine learning solutions that improve client outcomes and product performance.

You will partner with product, strategy, and operations, framing problems, defining success metrics, and delivering actionable recommendations to senior stakeholders. This hands-on manager role requires strong communication, deep analytics expertise, and the ability to apply AI

Qualifications

• BS Degree in a STEM field with 5+ years of analytics experience.
• 2 years of people management experience with coaching and team development.
• Strong data scientist and financial analyst mindset to drive firm impact.
• Knowledge of asset allocation and investment analytics concepts.
• Proficiency in Python, R, and Java for big data and modeling.
• Ability to apply ML/AI appropriately and present clear recommendations.

Responsibilities

• Leading analytics to connect product, strategy, and operations to outcomes.
• Deliver insights and ML solutions to improve client outcomes and efficiency.
• Frame problems, define success metrics, and present to senior stakeholders.
• Balance descriptive analytics with advanced modeling as needed.
• Identify opportunities to leverage AI to elevate productivity and decision quality.
• Mentor a team and drive high-value analytical initiatives.

Skills

Python

R

Java

Machine Learning

Data Analytics

Big Data

Education

BS Degree in STEM field

Job description

JPMorgan Chase & Co. in New York seeks a Data Science Lead in Wealth Management Decision Sciences to lead a team delivering insights and machine learning solutions that improve client outcomes and product performance.

You will partner with product, strategy, and operations, framing problems, defining success metrics, and delivering actionable recommendations to senior stakeholders. This hands-on manager role requires strong communication, deep analytics expertise, and the ability to apply AI