As a Model Development Associate within the Portfolio Risk Modeling team, you will have the opportunity to support and develop regulatory models, execute and prepare model surveillance, and provide insights for various regulatory requirements. You will use your expertise in performance assessment methods and metrics for various types of risk models used in portfolio Risk, regulatory modeling, and forecasting methods. You will be responsible for the development of stress test models as part of the annual CCAR/CECL exercise. This role will allow you to utilize your experience with econometric/statistical modeling, data manipulation, query efficiency techniques, reporting, and automation. We value intellectual curiosity and a passion for promoting solutions across organizational boundaries.

Responsibilities:

 Design, develop, test, and validate statistical models for ‘Cards’ Unsecured Lending portfolio risk forecast and model performance monitoring  Utilizing graduate-level research and analytical skills to perform data extraction, sampling, and statistical analyses using logistic regression, multinomial regression, multivariate analysis, discriminant analysis, time series analysis, panel data analysis, Survival Hazard Rate Models etc.  Efficiently design and produce programs to streamline and create repeatable procedures for model development, validation, and reporting  Process, cleanse, and verify the integrity of data used for analysis  Perform deep dive analysis to address ad hoc inquiries

 Qualifications: 

MS, Engineering or PhD degree in a quantitative discipline  Minimum 3+ years of hands-on work and research experience of advanced analytical skills in the areas of statistical modeling and data mining  Proficiency in advanced analytical languages such as SAS, R, Python, PySpark  Experience utilizing SQL in a relational database environment such as DB2, Oracle, or Teradata Ability to deliver high-quality results under tight deadlines  Strong multi-tasking skills with demonstrated ability to manage expectations and deliver results 

Preferred qualifications, capabilities, and skills 

Knowledge of regulatory modeling (IFRS9/CECL/CCAR preferred)