COURSE OBJECTIVES
At the end of this program, participants will be able to:
- Understand the fundamentals of credit risk.
- Recognise the impact of credit risk on financial institutions.
- Assess the creditworthiness of borrowers effectively.
- Evaluate various factors influencing credit risk.
- Implement techniques and strategies for credit risk mitigation.
- Develop robust frameworks for credit risk monitoring.
- Utilise technology to enhance credit risk management processes.
TARGET AUDIENCE
- Risk Managers.
- Credit Analysts.
- Financial Professionals.
- Loan Officers.
- Treasury Managers.
- Financial Analysts.
- Compliance Officers.
DAY 1: Understanding Credit Risk Fundamentals
- Definition and significance of credit risk.
- Various types of credit risk and their consequences.
- Essential factors influencing credit risk.
- The effects of credit risk on financial institutions.
- Overview of international credit risk regulations and standards.
DAY 2: Assessing Creditworthiness
- Methods for evaluating the creditworthiness of borrowers.
- Insights into credit scoring models and their approaches.
- Evaluating financial statements for credit risk analysis.
- Industry-specific factors in credit evaluations.
- Tools and methods for performing due diligence.
DAY 3: Strategies for Mitigating Credit Risk
- Management of collateral and secured lending practices.
- Structuring loans to reduce credit risk exposure.
- Utilising credit derivatives and insurance for risk reduction.
- Managing credit risk from counterparties.
- Formulating policies to manage and lessen credit exposure.
DAY 4: Monitoring and Reporting Credit Risk
- Frameworks for continuous credit risk evaluation.
- Early warning mechanisms for identifying credit decline.
- Stress testing to ensure credit risk resilience.
- Communicating credit risk to stakeholders and regulatory bodies.
- Incorporating credit risk into overall enterprise risk management.
DAY 5: Technology in Credit Risk Management
- Utilising credit risk management systems (CRMS).
- The impact of data analytics and AI on credit risk evaluation.
- Automating processes for credit approval and oversight.
- Improving risk management practices through blockchain technology.
- Emerging trends in credit risk management technology.