Consultant/Senior Consultant - Credit Risk Modeling - Big4

- To build a credit risk model.

- Data analysis, Statistical modelling, reporting by using SAS, R, SPSS, Excel and Application knowledge of Multivariate Techniques like Multiple Regression, Logistics Regression, Factor Analysis, Cluster Analysis and Market Basket Analysis.

- SAS, Credit Risk Modelling, PD Modelling.

- The process of credit scoring is very important for banks and financial institutions as they need to segregate good credit risk from bad credit risk in term of their credit worthiness.

- The objective of the project is to build a predictive model to classify credit card application as accepted or rejected.