CCAR Unsecured Model Analyst II- C10

The role of a CCAR Quantitative Modeler for Unsecured Products within US Personal Banking Risk involves developing CCAR/CECL models for unsecured portfolios such as credit cards and installment loans. As a CCAR Quantitative Modeler, your responsibilities will include obtaining and conducting quality assurance/quality control on all data necessary for CCAR/CECL model development, developing segment and/or account level CCAR/CECL stress loss models, performing required tests such as sensitivity and back-testing, validating/recalibrating all models annually to integrate the latest data, delivering comprehensive model documentation, collaborating with cross-functional teams including business stakeholders, model validation and governance teams, and model implementation team, and preparing responses/presentations to regulatory agencies on all CCAR/CECL models built. To qualify for this position, you should hold an advanced degree (Bachelors required, Masters/PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or another highly quantitative discipline. You should have at least 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 considered a strong plus. You must have actively participated in performing analytical components of an econometric modeling-driven stress loss process, including but not limited to 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 is preferred. Additionally, you should be able to effectively 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 is required for this role as well as the ability to work as an individual contributor. The job falls under the Risk Management job family group and specifically in the Risk Analytics, Modeling, and Validation job family. This is a full-time position that requires skills such as analytical thinking, business acumen, constructive debate, data analysis, escalation management, policy and procedure understanding, policy and regulation knowledge, risk controls and monitors, risk identification and assessment, and statistics. For any further information regarding complementary skills, please refer to the details provided above or contact the recruiter directly.,