Senior Vice President – Loss Forecasting and Stress Testing Analytics

Role Overview

• Work independently to effectively execute: Quarterly loss / loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) deliverables for one or more retail portfolios with primary focus on NA cards
• 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
• Assist in review and challenge of 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 besides understanding the synergies between two processes.
• Collaborate with other teams like Risk Modeling, Portfolio & New Account Forecasting, Data Reporting and Finance to complete requests on financial planning & CCAR/DFAST results and increased integration of credit risk & PPNR results
• Perform complex risk policy analytics in terms of sizing the impact of credit/business/regulatory policies on loss performance and incorporate it into the stress testing process
• Perform econometric analysis to estimate and explain the impact of changing macroeconomic trends on Portfolio Performance Losses, delinquency etc.
• Establish and continually evolve standardized business and submission documentation.
• Collaborate 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.)
• Execute information controls (version control, central results summary) to meet business objectives with utmost clarity.

Requirements

• 13+ years work experience in financial services, business analytics or management consulting.
• Understanding of risk management.
• Knowledge of credit card industry and key regulatory activities (CCAR) is a plus.
• Experience in CCAR / DFAST/Stress Testing is preferred.
• Strong understanding and hands-on experience with econometric and empirical forecasting models.
• Experience in data science / machine learning is preferred with ability to handle large datasets.
• Experience in using analytical packages like SAS, datacube/Essbase, MS Office (Excel, Powerpoint).

Tech Stack

• VBA

Benefits

• Flexible work arrangements
• Professional development opportunities