Wholesale Credit Risk: Loan Loss Forecasting Associate

JP Morgan Chase; New York (NY); Presencial; USD 120.000 - 160.000; Jornada completa

Descripción de la vacante

JPMorgan Chase is seeking a Wholesale Credit Risk Loan Loss Forecasting Associate in the Commercial & Investment Bank Risk organization. You will influence wholesale credit loan loss estimates across over $1 trillion in client exposure, delivering high-quality analytics and methodology insights for quarterly allowance and stress testing.

You will collaborate with senior executives and cross-functional partners across Risk, Finance, and the broader firm to advance estimation processes and present

Formación

• Bachelor's degree in Business, Finance, Accounting, or related field.
• 3+ years of experience in financial services.
• Familiarity with CECL and CCAR stress testing.

Responsabilidades

• Review allowance and stress testing results for reasonability and accuracy.
• Assess risks and support estimation of loan loss reserves.
• Calculate modeling parameters and translate into loss estimates.
• Develop expertise in estimation processes for CECL and CCAR.
• Conduct portfolio trend and scenario analyses for decision-making.
• Prepare materials for senior management and stakeholders.
• Collaborate across lines of business to drive consensus.

Conocimientos

CECL knowledge

CCAR framework

Cross-functional collaboration

Excel & PowerPoint

Communication skills

Data interpretation

Educación

Bachelor's degree in Business/Finance/Accounting

Herramientas

Tableau

Alteryx

Descripción del empleo

JPMorgan Chase is seeking a Wholesale Credit Risk Loan Loss Forecasting Associate in the Commercial & Investment Bank Risk organization. You will influence wholesale credit loan loss estimates across over $1 trillion in client exposure, delivering high-quality analytics and methodology insights for quarterly allowance and stress testing.

You will collaborate with senior executives and cross-functional partners across Risk, Finance, and the broader firm to advance estimation processes and present