Full Description

Responsibilities include but are not limited to understanding the key drivers of losses and loan loss reserves, their relative importance and the current trends; apply this knowledge effectively to forecast losses / loan loss reserves meaningfully and accurately; analyze underlying model outputs relative to other business, ensure that the models provide rational and logical output, Reconcile detailed financial data from disparate data sources, be able to present the findings to various key stake-holders and senior management across the NA Cards organization; hold meaningful discussions and present to various review and challenge teams, internal and external auditors and regulators; ensure best in class governance and documentation practices for these functions; drive process efficiencies through automation for the underlying data, forecasting and reporting processes. Quarterly loss / loan loss reserve forecasting and stress testing processes (CCAR, QMMF, Recovery Plan) deliverables for one or more NA Cards portfolios, and 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 besides understanding the synergies between two processes 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; required as part of the business review and effective challenge process 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 with utmost clarity 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). 7-9 years of work experience in financial services or management consulting. Strong understanding of risk management. Knowledge of credit card industry and Knowledge of credit card industry and key regulatory activities (CCAR) are a plus. 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) 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. 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 Displays flexibility to work well with varying personal styles Takes personal responsibility to lead by example. Understands and appreciates diverse backgrounds. Demonstrates strong ethics Develops strong cross-functional relationships within and outside Risk Management Contributes to a positive work environment; shares knowledge and supports diversity Analytical Thinking, Business Acumen, Constructive Debate, Data Analysis, Escalation Management, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------