About this role

Provide support in the development and analysis of quantitative/econometric behavioral models for credit risk
Assist in researching and developing quantitative behavioral models
Prepare, manage and analyze large customer loan, deposit and financial data sets for statistical analysis
Run regressions and other econometric analyses and communicate results to stakeholders
Execute models in production environment; track portfolio and model performance
Develop and maintain satisfactory model documentation

Bachelor’s degree and a minimum of 1 years’ proven quantitative behavioral modeling experience
Minimum of 1 years’ on-the-job experience with pertinent statistical software packages (SAS, Python, Stata, R)
Strong Python skills required
Familiarity with logistic regression and linear regression
Minimum of 1 years’ on-the-job experience with data management environment, such as SQL Server Management Studio
Minimum of 1 years’ experience in managing and analyzing large data sets
Example of explaining results of analysis through concise written and verbal communication as well as charts/graphs.

Credit Risk Model Development Quantitative Analyst II – Consumer Portfolio

Key skills