Associate Director At Credit Models And Methodologies
CurrentLeveraged mathematical, modeling, coding and IT knowledge in delivering credit risk measurement systems, including payments-based modelsCollaborated with team members responsible for methodology development and program implementation and execution, with a focus on data analysis, user acceptance testing, and model methodology/implementation documentationAssisted in data analysis, acquisition and resolution, documentation and presentation of methodologies, requirements, systems, development and execution processesPerformed UAT activities for IFRS 9 Project (in-scope products: Credit Card Model, Direct and Indirect Loan Model, Home Equity Finance Model, US Residential Mortgage Model, Personal Loan Model, Available-for-sale Model, Commercial Real Estate Model)Facilitated the advancement of credit risk measures used in forward-looking projections in BAU processes. For example, with respect to risk appetite, limit setting, subsidiary measurement and reporting, credit provisioning, and solvency and resiliency mattersAnalyzed model input and output for communication to senior management, with a focus on business, risk and secondary implicationsAssisted in the development of credit risk measurement models employed for International Financial Reporting Standard 9 (IFRS 9) and enterprise-wide stress testing, including Comprehensive Capital Analysis and Review (CCAR)Performed stress testing and scenario analyses, including the testing and deployment of point-in-time predictive models, primarily via Python, SAS, and RReplicated an Economic Scenario Expansion Model in R utilizing generalized linear model and time series methods