Home Lending Credit Forecasting Portfolio Analytics Vice President

JPMorgan Chase JPMorgan Chase · Banking · OH · Consumer & Community Banking

This role focuses on portfolio analytics and credit forecasting within the Home Lending division of JPMorgan Chase. It involves analyzing loan-level and portfolio-level performance, leveraging credit risk models, and evaluating pricing scenarios. The role also includes process improvement, control enhancements, and communicating analytical findings to stakeholders. While it uses analytical tools and models, it does not appear to involve the core craft of building or researching AI/ML models.

What you'd actually do

  1. Drive portfolio analytics initiatives, including segmentation, high-quality insight generation and control enhancements
  2. Analyze loan-level and portfolio-level performance to inform risk-based pricing decisions across channels, products, and segment
  3. Leverage credit risk models (PD/LGD or analogous frameworks), prepayment/pull-through concepts, and economic assumptions to evaluate pricing scenarios.
  4. Contribute to process improvements and the development of robust controls
  5. Analyze model results and assist in explaining results

Skills

Required

  • Bachelor’s degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field
  • Strong analytical and problem-solving skills
  • Ability to generate actionable insights
  • Ability to work in a fast-paced environment
  • Managing multiple priorities
  • Adapting to evolving business needs
  • Possess good judgment
  • Demonstrated ability to think creatively and strategically
  • Excellent communication, collaboration and presentation skills
  • Capable of conveying complex information to non-technical stakeholders

Nice to have

  • Experience working in risk analytics
  • Portfolio management experience
  • Financial services experience
  • Strong background in analytics
  • Experience in tools such as SQL, SAS, or Python
  • Demonstrated ability to synthesize large datasets into actionable recommendations
  • Experience leading people, workstreams or projects
  • Experience working with geographically diverse teams