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$161,709–$214,500.
Based on 240 similar postings.
Employer
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.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
JOB TITLE: Data Scientist Manager Vice President - Wealth Management
As a Data Scientist Manager Vice President - Wealth Management, you will lead a team within Wealth Management Decision Sciences to deliver insights and machine learning solutions. You will partner with product, strategy, and operations teams to frame problems, define success measures, and provide clear recommendations to senior stakeholders. Your daily responsibilities include leading end-to-end analytics delivery, operationalizing experimentation frameworks, and developing high-value artificial intelligence and agentic use cases to improve portfolio allocations and client outcomes. You will utilize statistical methods, SQL scripts, PySpark libraries, and Jupyter Notebooks to perform descriptive analytics, visualization, and advanced modeling. Key techniques include linear regression, decision trees, string similarity, and look-alike modeling to solve complex business problems across financial, client engagement, and operational domains.
Lead a team to deliver machine learning solutions that improve client outcomes and operational efficiency.
Translate ambiguous business questions into well-defined analytical problem statements and success metrics.
Apply statistical methods and AI-assisted approaches to solve problems across product, financial, and operational domains.
Manage end-to-end analytics delivery from initial problem framing to communicating insights to senior stakeholders.
Develop scalable machine learning and trigger capabilities to improve and automate operational processes.
Operationalize experimentation frameworks to evaluate enhancements and quantify business impact.
Identify and develop high-value AI and agentic use cases to improve analytical productivity and decision quality.
Analyze client usage across risk segments to understand relationships between risk appetite and portfolio allocations.
What we're looking for
BS Degree in an applicable STEM field.
5+ years of industry experience producing advanced analytics work.
2 years of people management experience, including performance management, coaching, and team development.
Demonstrated experience leading teams of data scientists to deliver analytics and machine learning solutions that improve business performance.
Ability to right-size analytical approaches from descriptive analytics and visualization through machine learning and artificial intelligence-based decisioning.
Hands-on experience applying statistical and quantitative techniques such as decision trees, linear regression, and behavioral analytics.
Proficiency in complex SQL scripts, PySpark libraries, or Jupyter Notebooks to coach teams on computational aspects of big data.
Experience supporting wealth management, investing, or self-directed investing businesses (preferred).
Agile
Scrum
Data Modeling
Data Governance
Microservices
Data Quality
Alteryx
MS Visio
Data Analysis
User Stories
Process Mapping
Analytics Platforms
Data Strategy
Python
SQL
Machine Learning
Generative AI
Large Language Models
Google Cloud Platform
Microsoft Azure
MLOps
Data Pipelines
APIs
Version Control
Software Development Lifecycle
Statistics
Model Monitoring