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The role is within the Loss / Loan Loss Reserve Forecasting and Stress Testing team. This group is specifically tasked with calculating and managing the net credit loss and loan loss reserve forecast on a $90BN + portfolio and working with the Finance teams to build forecasts for credit losses and loan loss reserves under varying macro-economic and business conditions. The individual will be responsible for NA Cards efforts around Comprehensive Capital Analysis & Review (CCAR/DFAST) for NA Cards portfolios.
Job Responsibility:
Quarterly loss / loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) deliverables for one or more NA Cards portfolios
Associated governance activities (Manager Control Assessment, End User Computing, Activity Risk Control Monitoring and its Assessment Units)
Cross-portfolio and cross-functional collaboration on loss / loan loss reserve forecasting and stress testing analytics
Review and challenge existing models, and model outputs to identify areas of improvement relative to portfolio & macro-economic trends
Understand the calculation of reserves, components of P&L, and the impact of CECL on CCAR results
Partner with Finance team to complete requests on financial planning & CCAR/DFAST results
Collaborate with Risk Modeling, Portfolio and New Account Forecasting, Data and Reporting teams
Create presentations with supportive analysis, storyboard results, and lead discussions with senior management
Establish and continually evolve standardized business and submission documentation
Coordinate with Global CCAR Office, drive centralized reporting requirements, and communicate with Auditors and Regulators
Identify areas of improvement in BAU and drive process efficiency through process simplification and automation (VBA, SAS, etc.)
Requirements:
Bachelor’s degree in a quantitative discipline: Mathematics, Sciences, Economics, Management, Operations Research, Engineering and Statistics
7-9 years of work experience in financial services or management consulting
Strong understanding of risk management
Strong understanding and hands-on experience with econometric and empirical forecasting models
Strong CCAR / DFAST/Stress Testing experience is preferred
5+ years of experience in using analytical packages, SAS, datacube/Essbase, MS Office (Excel, Powerpoint)
Vision and ability to provide innovative solutions to core business practices
Ability to develop partnerships across multiple business and functional areas
Strong written and oral communication skills
Nice to have:
Master’s degree in an analytical field
Knowledge of credit card industry and key regulatory activities (CCAR)
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