Jpmorgan Wealth Manager - Vice President - Product Owner Wealth Plan Planning Engine

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Asset & Wealth Management

Product Owner for a Wealth Plan Planning Engine, responsible for the algorithm and logic. This role will drive the integration of AI and LLM-powered capabilities, define product requirements for LLM- and agentic AI-enabled planning workflows, and use AI tools for data exploration, research synthesis, and prototyping. Requires strong knowledge of AI/ML from a product perspective and quantitative skills in financial planning.

What you'd actually do

  1. Develop a deep understanding of JPMorgan Wealth Plan's Planning Engine algorithm and logic to support existing requirements and deliver the future product roadmap
  2. Help validate, issue-spot, and debug Planning Engine outputs and results
  3. Work closely with Product and Technology partners on pending enhancements, ensuring accurate implementation
  4. Enhance existing documentation of algorithms and processes to institutionalize knowledge
  5. Build and maintain expertise across core wealth planning domains: retirement planning, education funding, debt management, insurance planning, tax planning, and estate planning

Skills

Required

  • 6+ years of related experience with a degree in a quantitative discipline
  • Strong knowledge of AI/ML technologies from a product perspective, including generative AI, large language models (LLMs), and agentic AI patterns
  • Strong quantitative and analytical skills, including financial/wealth projection, decision-making, and optimization techniques
  • Proven experience building Excel-based calculators and models, including VBA, macros, and add-ins
  • Strong grasp of (or ability to quickly develop expertise in) financial, retirement, charitable, tax, and estate planning strategies
  • Strong written and verbal communication skills with impeccable attention to detail

Nice to have

  • CFP or CFA certification highly preferred

What the JD emphasized

  • Proven use of AI-assisted tools for data exploration and analysis
  • Define product requirements for LLM- and agentic AI-enabled planning workflows
  • Use AI tools to synthesize qualitative research
  • Leverage AI tools to prototype planning concepts
  • Strong knowledge of AI/ML technologies from a product perspective

Other signals

  • AI/ML technologies from a product perspective
  • generative AI, large language models (LLMs), and agentic AI patterns
  • Define product requirements for LLM- and agentic AI-enabled planning workflows
  • Use AI tools to synthesize qualitative research
  • Leverage AI tools to prototype planning concepts