WORKSHOPS

- Register and complete the payment through the official training website.

- Upon successful registration, an invitation email—including the access link, workshop resources, and Pre- & Post-Assessment links—will be sent one day before the workshop.

In the dynamic landscape of finance, understanding and managing credit risk is crucial for financial institutions and businesses alike. This workshop is designed to provide participants with comprehensive knowledge and practical skills in credit risk analysis and modelling. From assessing borrower creditworthiness to building predictive models, participants will gain insights into the tools and techniques necessary for effective credit risk management.

This workshop is tailored for professionals involved in risk management, lending, and financial analysis, including:

Risk Managers: Individuals responsible for identifying, assessing, and mitigating credit risk within financial institutions. Credit Analysts: Professionals involved in evaluating the creditworthiness of individuals and businesses. Financial Analysts: Those working in financial planning and analysis, interested in expanding their skills to include credit risk assessment. Bankers and Lending Professionals: Professionals involved in commercial or retail lending who want to enhance their understanding of credit risk. Regulatory and Compliance Personnel: Individuals responsible for ensuring adherence to credit risk management regulations and compliance standards.

Certificate of participation issued by UASA & CMA.

15:00 - 16:20 Session 1

16:20 - 16:30 Break

16:30 - 17:50 Session 2

17:50 - 18:00 Break

18:00 - 19:00 Session 3

Fundamentals of Credit Risk:

Definition and types of credit risk

Importance of credit risk management in financial institutions

Credit Risk Assessment:

Methods for assessing borrower creditworthiness

Analysis of financial statements and credit reports

Credit Scoring Models:

Introduction to credit scoring and its significance

Building and using credit scoring models

Probability of Default (PD) Models:

Understanding PD and its role in credit risk assessment

Building PD models using statistical techniques

Loss Given Default (LGD) and Exposure at Default (EAD):

Evaluation of potential losses and exposure in the event of default Modeling LGD and EAD for effective risk management

Stress Testing and Scenario Analysis:

Assessing the resilience of credit portfolios under adverse conditions Scenario analysis for predicting credit risk in varying economic environments

Credit Risk Mitigation Strategies:  

Techniques for minimizing credit risk exposure

Overview of collateral management and guarantees

Case Studies and Practical Applications:

Application of credit risk analysis concepts to real-world scenarios Group exercises and discussions for hands-on learning

Technology and Tools in Credit Risk Modelling:

Introduction to credit risk modelling software and tools

Practical sessions on using technology for effective credit risk management

Q&A and Networking: