As a Credit Capital Model Development Vice President within the Wholesale Credit Risk Management Quantitative Research team, you will utilize your experience in modeling of either balance forecasting (commitment, utilization, prepayment) and/or spread/GII/NII and focus on Pre-Provision Net Revenue (PPNR) stress modeling methodologies.
Job Responsibilities
- Develop statistical models and frameworks for PPNR forecasting under different economic scenarios.
- Work across the entire team , including planning, analysis, development, and testing of new applications and enhancements to existing applications. Ensure adherence to best practices and standards throughout the development process.
- Perform data analysis to support model development and analytics and collaborate with LOBs and LOB finance teams to ensure integrity and accuracy in model results
- Liaise with various lines of business to thoroughly understand various models for CCAR, CECL and other credit risk applications. Ensure alignment with regulatory requirements and internal governance standards.
- Define data models, metadata, and data dictionary that will enable data analysis and analytical explorations. Implement data governance practices to ensure data quality, consistency, and compliance with organizational policies.
- Participate in stress testing exercises: CCAR, RA, IFRS9
Required Qualifications, Capabilities and Skills
- Masters degree in finance, statistics, econometrics, mathematics, physics, engineering or similar quantitative discipline
- Minimum 3 years of experience
- Solid theoretical and practical knowledge of statistical methods and models: generalized linear models, time-series analysis, clustering, decision trees logistic regression
- Basic knowledge on credit risk modeling both at single-obligor level and portfolio level
- Experience in handling large amount of panel data and data cleaning/filtering
- Hands on programming in Python
- Previous experience in writing documents for regulatory reviews
Preferred Qualifications, Capabilities and Skills
- Prior experience in wholesale credit
- Prior experience in PPNR modeling
- Hands on programming experience in R