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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 $150BN + 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 work on efforts around Comprehensive Capital Analysis & Review (CCAR/DFAST) for retail portfolios with primary focus on NA cards. The individual should demonstrate strong work ethic, teamwork, quantitative and problem-solving skills. The individual is expected to leverage technical and business acumen to deliver high quality results.
Job Responsibility
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
0 - 1 year of work experience in financial services, business analytics or management consulting
Post graduate degree with specialization in a quantitative discipline: Statistics, Mathematics, Economics, Econometrics, Management, Operations Research or Engineering
Understanding of risk management
Strong understanding and hands-on experience with econometric and empirical forecasting models
Experience in using analytical packages like 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
Bachelor’s/University degree or equivalent experience
Nice to have
Knowledge of credit card industry and key regulatory activities (CCAR) is a plus
Experience in CCAR / DFAST/Stress Testing is preferred
Experience in data science / machine learning is preferred with ability to handle large datasets