About this programme
In today’s dynamic and data-driven financial environment, effective credit risk analysis is vital for safeguarding profitability and maintaining a resilient lending strategy. As markets evolve and credit behaviors shift, organizations need advanced tools and insights to stay ahead of risk exposure.
"Advanced Credit Risk Analysis" is a high-level course designed for finance professionals, analysts, and risk managers looking to deepen their expertise in evaluating creditworthiness, modeling risk, and managing diverse credit portfolios. The course combines analytical techniques, industry case studies, and regulatory frameworks to build future-ready credit risk capabilities.
What You’ll Learn
By the end of this course, participants will be able to:
- Assess Complex Credit Profiles: Analyze financial statements, industry dynamics, and borrower behavior in-depth
- Apply Quantitative Risk Models: Use scoring models, probability of default (PD), exposure at default (EAD), and loss given default (LGD) techniques
- Monitor Portfolio Risk: Evaluate credit concentration, sectoral exposure, and stress testing scenarios
- Understand Regulatory Expectations: Align with Basel III/IV, IFRS 9, and central bank guidelines on credit risk management
- Use Predictive Analytics: Leverage AI and machine learning to improve risk prediction and decision-making
Who Should Attend?
This course is ideal for:
- Credit Analysts and Credit Officers
- Risk Managers and Portfolio Managers
- Bankers, Lenders, and Investment Analysts
- Regulatory Compliance Professionals
- Finance Professionals involved in credit decisioning or asset management
Course Format
- Delivery: Instructor-led (virtual or in-person)
- Structure: Advanced case studies, credit model workshops, scenario analysis exercises
- Resources: Financial analysis templates, credit rating scorecards, and model validation checklists
Course Booking
Please use the "Book Now" or "Inquire" buttons on this page to reserve your space or request for more information
Who should attend
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Assess Complex Credit ProfilesAnalyze financial statements, industry dynamics, and borrower behavior in-depth
-
Apply Quantitative Risk ModelsUse scoring models, probability of default (PD), exposure at default (EAD), and loss given default (LGD) techniques
-
Monitor Portfolio RiskEvaluate credit concentration, sectoral exposure, and stress testing scenarios
-
Understand Regulatory ExpectationsAlign with Basel III/IV, IFRS 9, and central bank guidelines on credit risk management
-
Use Predictive AnalyticsLeverage AI and machine learning to improve risk prediction and decision-making
-
StructureAdvanced case studies, credit model workshops, scenario analysis exercises
-
ResourcesFinancial analysis templates, credit rating scorecards, and model validation checklists
Upcoming runs
Facilitator & contact
- Contact person
- Amarachi
- Phone
- 08034256947
- Provider site
- lexarbs.com
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