CCAR Unsecured Model Development Analyst II

Role Overview: As a CCAR Quantitative Modeler for Unsecured Products within US Personal Banking Risk, you will be responsible for developing CCAR/CECL models for unsecured portfolios such as credit cards and installment loans. Your key responsibilities will include: Key Responsibilities: - Obtaining and conducting QA/QC on all data required for CCAR/CECL model development - Developing segment and/or account level CCAR/CECL stress loss models - Performing all required tests, such as sensitivity and back-testing - Validating/recalibrating all models annually to incorporate the latest data and redeveloping as needed - Delivering comprehensive model documentation - Working closely with cross-functional teams, including country/regions business stakeholders, model validation and governance teams, and model implementation team - Preparing responses/presentations to regulatory agencies on all CCAR/CECL models built Qualification Required: - An Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline - 2+ years of experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses - Experience with dynamics of unsecured or secured products is a strong plus - Active role in performing some analytical components of an econometric modeling-driven stress loss process, including data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation - Exposure to various stress loss modeling approaches at the segment or account level preferred - Ability to communicate technical information verbally and in writing to both technical and non-technical audiences - Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel, and PowerPoint - Working as an individual contributor This role falls under the Risk Management job family group and specifically within Risk Analytics, Modeling, and Validation. It is a full-time position requiring analytical thinking, business acumen, data analysis, risk identification, and assessment skills among others. Your work will involve constructive debate, policy compliance, and risk monitoring.,