Registration for this programme has been closed, pls download the brochure for future session.
Summary
Objective
This training program will equip the participants in data driven and analytical thinking to predict and reduce credit default risk for banks, NBFC, and FinTechs. This two-day program is completely hands-on and provides working knowledge to the risk and analytics professionals to implement data-driven credit risk management. The participants will learn how to develop credit scorecards for secured and unsecured retail, MSME, SME loans. Moreover, the program will provide loan underwriters an ability to use scorecards and analytics to improve the quality of the loans. The critical and analytical thinking is at the core of this program. The participants will also get familiar with R, a statistical and machine learning programing language, for scorecard development and risk analysis.
Who should participate?
Risk analytics professional
Risk managers; analysts
Data analytics professionals
Loan-underwriters and analysts interested in quantitative risk management
