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The role focuses on loss/loan loss reserve forecasting and stress testing for a $90BN+ portfolio under varying macro-economic and business conditions. It requires collaboration with various teams and stakeholders to effectively manage net credit losses and reserves, ensuring robust governance and process efficiencies through automation.
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 and increased integration of credit risk & PPNR 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, Finance heads, Independent Risk
Establish and continually evolve standardized business and submission documentation
Coordinate with Global CCAR Office, drive centralized reporting requirements, and communicate with Auditors and Regulators
Partner with Risk and Finance organization to understand sources of data and continue to improve the process of defining, extracting and utilizing data
Identify areas of improvement in BAU and drive process efficiency through process simplification and automation (VBA, SAS, etc.)
Manage information controls (version control, central results summary) to meet business objectives
Requirements:
Bachelor’s degree in a quantitative discipline: Mathematics, Sciences, Economics, Management, Operations Research, Engineering and Statistics (Master’s degree in an analytical field is a plus)
8+ 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
Broad understanding of overall business model and key drivers of P&L
5+ years of experience in using analytical packages, SAS, datacube/Essbase, MS Office (Excel, Powerpoint)
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