As a Vice President in the Credit Card Loss Forecasting within the Consumer & Community Banking (CCB) Risk Management group, you will be responsible for credit forecasting for the $220B credit card portfolio. The role encompasses important aspects of loss forecasting like, CECL, Budget, and Model analytics. This is an exciting opportunity to work in a high-impact team as they become the key focus of the firm and across the financial services industry. You will excel at creative thinking and problem-solving, be self-motivated, confident, and ready to work in a fast-paced, energetic environment.
Job Responsibilities:
- Lead the quarterly ACL process for the Card portfolio using CECL approach
- Provide attribution analysis for quarterly changes as well as impact analysis of latest Macroeconomic forecast
- Identify emerging risks and be creative in sizing the potential impact on the portfolio using alternate data sources
- Collaborate with the central loss forecasting team to manage process timelines and provide necessary information.
- Work with Finance, Modeling, and Risk Strategy teams to understand changes in the portfolio, model, or strategies and apply adjustments as needed
- Partner with the Risk Modeling team to ensure the model functions as desired and provide regular inputs for improvement
- Create and present quarterly ACL to senior management with a clear storyline and data support.
- Support annual stress testing (CCAR), the Risk Appetite framework, and strategy integrations
- Enhance consistency and efficiency across existing processes and reporting to meet the changing needs of the business
- Demonstrate initiative and the ability to work on multiple projects with limited guidance, while mentoring and coaching junior analysts to develop their risk management skills and finance knowledge.
- Confidently defend the loss forecasting numbers in front of senior management, the Model Review Group, and internal/external auditors/regulators.
Required Qualifications, Capabilities and Skills:
- Master’s/Bachelor’s degree in a quantitative discipline (Finance/Statistics/Economics/Mathematics/Engineering) from an accredited college/university required.
- 5+ years of experience in Credit Risk Management, Statistical Modeling, Marketing Analytics, and/or Consulting.
- 7+ years of related analytical experience.
- Strong knowledge of Python, SAS, SQL, and MS Office required.
- Strong P&L knowledge and understanding of drivers of profitability
- Strong analytical, interpretive, and problem-solving skills with the ability to interpret large data sets and their impact in both operational and financial areas.
- Excellent oral and written communication and presentation skills.
Preferred Qualifications, Capabilities and Skills:
- Advanced degree is preferred.