Chief Manager-Credit Risk Analytics

Job highlights

• Experience in Credit Risk Analytics, Scorecard Development, and Model Validation with proficiency in SAS, SQL, Python, or R
• Develop and test rating models/scorecards, analyze loan data for risk patterns, prepare risk dashboards and credit risk reports, and coordinate model implementation and automation

Role & responsibilities

• Apply statistical tool to analyze the pattern and come with detailed assessment
• Develop rating model/scorecard for various retail and corporate loans based on historical data
• Good experience in ECL(PD/LGD) and EWS model development.
• Testing of scorecard/model on a regular basis and update
• Review and Analysis of historical loan data to understand the pattern from default point of view
• Review and Prepare risk dashboard for management which shows all important risk parameters
• Coordinate with various stakeholder for the rating model implementation
• Prepare and maintain database of loan product from risk assessment point of view
• Ensure data is correctly captured in the system and coordinate with different team to fix the issue
• Coordinate with IT team for the automation of credit approval process
• Review and Preparation of regular credit risk reports for Board meeting and other management committee meeting consumption

Preferred candidate profile

• Experience in Credit Risk Analytics, Scorecard Development, Model Validation, or Portfolio Risk Management.
• Strong knowledge of statistical techniques, predictive modeling, and credit risk frameworks.
• Proficiency in SAS, SQL, Python, R, Excel, or similar analytics tools.

Interested candidates may share their resume on [email protected].