Risk Management - Wholesale Credit Risk - Product - Vice President

JPMorgan Chase JPMorgan Chase · Banking · Plano, TX +1 · Corporate Sector

Product Vice President role at JPMorgan Chase focused on shaping data models and product capabilities for wholesale credit risk. The role involves collaborating with stakeholders, defining requirements, and driving execution. A key aspect is leveraging LLMs and AI for new use cases, specifically implementing LLM-based financial spreading for data models. The role also involves contributing to product strategy, defining metrics, and driving product development with engineering teams.

What you'd actually do

  1. Finalize the financial data models for portfolios by working with credit risk stakeholders / customers
  2. Identify new tech features or enhancements required for implementing the data models
  3. Leverage LLMs and AI for newer use cases, including implementation of LLM-based financial spreading for the data models
  4. Contribute towards product strategy and product vision that delivers value to customers
  5. Partner with solution architects and technologists to influence technical approaches to meet desired business outcomes

Skills

Required

  • Bachelor's Degree in a relevant field
  • Minimum 6 years of relevant work experience in Credit Risk, Data Strategy, Product or a related capacity
  • Strong, clear, and concise written and verbal communication skills with the ability to prepare executive-level communications
  • Excellent organizational skills and attention to detail; able to manage competing priorities under tight deadlines
  • Proven ability to collaborate, influence, negotiate and build strong partnerships
  • Intellectual curiosity with a proven ability to learn quickly
  • High degree of initiative, self-direction, and ability to work well under pressure
  • Understanding of financial data and its relevance for credit and banking use cases
  • Ability to lead, drive consensus, and deliver in a matrix organization with multiple stakeholders
  • Experience using data and metrics to drive decisions
  • Proficiency in process re-engineering or similar

Nice to have

  • Prior experience in implementation of AI-based solutions
  • Experience working with Technology and UX Design colleagues and discussing technical designs

What the JD emphasized

  • LLMs and AI for newer use cases
  • implementation of LLM-based financial spreading for the data models

Other signals

  • Leverage LLMs and AI for newer use cases
  • implementation of LLM-based financial spreading for the data models