Client Reference Data - Product Associate

JPMorgan Chase JPMorgan Chase · Banking · Mumbai, Maharashtra, India · Asset & Wealth Management

Product Associate for Client Reference Data at JPMorgan Chase, focusing on scaling the CDM data product, strengthening operating models, and driving operational excellence through data-driven execution. Responsibilities include product development, stakeholder collaboration, operating model design and implementation, process optimization, data analysis, and communication. Requires 5+ years of financial services experience, with 2+ in asset & wealth management, and proven product development success.

What you'd actually do

  1. Drive product development for the CDM data product with cross-functional, cross-domain partners.
  2. Collaborate with stakeholders to deliver impactful, scalable data product solutions.
  3. Design cross-product operating models to strengthen execution, governance, and scalability.
  4. Implement operating model changes in partnership with operational teams to improve delivery rigor.
  5. Optimize processes and controls to enable consistent product execution and operational excellence.

Skills

Required

  • financial services experience
  • asset & wealth management experience
  • product development
  • operating model implementation
  • SDLC
  • agile/scrum
  • data analysis
  • data visualization tools (e.g., Alteryx, Python, Tableau)
  • data governance (e.g., MDM)
  • written and verbal communication
  • relationship management

Nice to have

  • advanced degree in Business, Finance, or related field
  • cloud-based data platforms
  • modern data architectures
  • scaling data products
  • UI/UX research or design
  • workflow/digital ecosystem concepts
  • distribution/CRM platforms

What the JD emphasized

  • 5+ years of financial services experience
  • 2+ years in asset & wealth management
  • product development experience
  • partnering with operational teams to build and implement operating models
  • agile/scrum delivery experience
  • high data literacy
  • data governance orientation