Expected Credit loss Analytics (ECL) - Credit Risk Model Development
Role: Senior Team Member Credit Risk Modelling Unit
- ECL Model Development and Implementation:
- Build and maintain statistical models to calculate Expected Credit Losses across different loan portfolios based on factors like borrower credit history, macroeconomic indicators, and industry trends.
- Implement the ECL model within the Bank's system to automatically generate provisioning requirements.
- Regularly review and update the ECL model to reflect changing market conditions and portfolio dynamics.
Data Management and Analysis:
- Collect and cleanse loan data from various internal systems to ensure accuracy for ECL calculations.
- Perform data analysis to identify trends and patterns impacting credit risk.
- Develop data visualization tools to present insights on credit risk metrics to senior management.
Regulatory Compliance:
- Ensure adherence to regulatory guidelines regarding ECL calculation and provisioning as per Ind AS 109.
- Prepare necessary reports and documentation to support regulatory audits.
Collaboration and Communication:
- Work closely with the credit risk team, finance department, and IT team to ensure accurate ECL calculations and smooth implementation of the ECL model.
- Communicate ECL related insights and risks to senior management and stakeholders.
Required Skills and Qualifications:
- Strong understanding of credit risk management and the ECL framework under Ind AS 109
- Expertise in statistical modeling techniques, including regression analysis, decision trees, and time series analysis.
- Proficiency in data manipulation and analysis tools like SQL, SAS, or Python
- Financial modeling skills and understanding of financial statements.
- Excellent communication and presentation skills to convey complex financial concepts to non-technical audiences.
- Relevant experience in credit risk management within a banking or NBFC environment
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