A leading global bank looking to expand its Risk Appetite & Loss Forecasting team. In this role you will be responsible for efforts around CCAR/DFAST for branded cards and P&L portfolios. Candidates should have 5+ years of experience in risk management (preferably in the credit card industry) along with an understanding of loss forecasting models and demonstrated leadership skills.
- Compare and contrast macro-economic scenarios
- Manage and maintain model inventory for CCAR models, analyze model outputs relative to other business, ensure that the models provide rational and logical output.
- Create presentations with supportive analysis, storyboard results, and lead discussions with senior management as part of the business review and effective challenge process.
- Utilize avenues for automation where available and drive process efficiency (VBS, SAS, etc)
- Understand the calculation of reserves, components of P&L, and the impact of CECL on CCAR results besides understanding the synergies between two processes
- Be able to independently lead the team through the annual stress testing processes (CCAR, Mid-cycle stress testing, Recovery Plan), and associated governance activities
- BA or BS degree (Master's/PhD degree in an analytical field preferred)
- 5+ years of work experience in financial services or management consulting
- Strong understanding of risk management, with knowledge of credit card industry and key regulatory activities (CCAR) preferred
- Understanding of forecasting models
- CCAR / DFAST submission experience
- Broad understanding of overall business model and key drivers of P&L.
- 5+ years of experience in using analytical packages, datacube/Essbase, MS Office (Excel, Powerpoint)
- Strong written and oral communication skills.
- Capability and experience to drive changes in order to achieve business targets
- Senior executive interactions - can present credibly to both large and small groups
- Strong interpersonal skills and ability to influence at all levels of management
- Develops strong cross-functional relationships within and outside Risk Management