What you'll get
- 8+ Hours
- 3 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Introduces essential analytical frameworks used in credit risk evaluation.
- Covers financial statement analysis and widely used credit risk models, including the Altman Z-Score and Merton’s Model.
- Explores working capital assessment methods and UFCE modeling techniques.
- Examines Way Out Analysis specifically applied to IT organizations.
- Develops the ability to form and present a well-supported credit recommendation.
- Enhances practical skills in financial analysis, credit modeling, and risk evaluation.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Advanced Credit Risk Modeling: IT Sector | 5h 46m | ✔ | View Curriculum |
| Credit Risk Modeling | 2h 41m | ✔ | View Curriculum |
| Credit Risk Modeling & its Application in Banks | 58m | ✔ | View Curriculum |
Description
The Credit Risk Modeling: Build a Credit Risk Model from Scratch program offers a structured, practical approach to understanding, measuring, and managing credit risk. Credit risk represents the likelihood of incurring a loss if a borrower or counterparty is unable to honor financial or contractual commitments. This exposure exists across multiple economic scenarios, including bank lending, corporate trade credit, bond investments, and insurance claims. As increased credit risk often leads to higher borrowing costs, accurate risk assessment is critical for maintaining financial resilience and long-term stability.
This course explains the relevance of credit risk modeling in modern organizations, with particular emphasis on IT companies. Participants gain insight into the analytical tools used to evaluate financial strength and creditworthiness. Key topics include financial statement construction and interpretation, Altman Z-Score analysis, Merton’s Model, working capital evaluation, UFCE modeling, and Way Out Analysis. The program also introduces core evaluation metrics and guides learners in developing a structured, evidence-based final recommendation.
The learning journey begins with the fundamentals of credit risk measurement, establishing a strong conceptual base. It then progresses to traditional credit models, illustrated through real-world examples that demonstrate their practical application. Structural credit risk models are explored in detail, helping learners understand how theoretical concepts translate into actionable credit assessments.
Participants gain hands-on experience calculating and interpreting the Altman Z-Score, including sector-specific applications such as assessing U.S. airlines. Additional modules address credit ratings, performance metrics, early warning signals, and credit model validation techniques. The program also provides in-depth coverage of UFCE modeling, working capital-based credit analysis, and comprehensive financial statement review, including the income statement, balance sheet, and cash flow statement.
The course concludes with a detailed examination of Way Out Analysis and internal credit rating frameworks. Supplementary reference materials support independent application of the concepts. Designed as a practice-oriented program, the course delivers maximum value when learners actively participate in exercises and analytical case examples.
Goals
- Build a strong foundation in credit risk concepts and modeling techniques.
- Enable learners to evaluate borrower creditworthiness using structured frameworks.
- Strengthen financial statement analysis and interpretation skills.
- Develop the ability to create and justify credit risk recommendations.
Objectives
On completion of the course, individuals will be able to:
- Understand and define different types of credit risk exposures.
- Analyze financial statements for credit assessment purposes.
- Apply Altman Z-Score and Merton’s Model in real-world scenarios.
- Evaluate working capital and cash flow sustainability.
- Build and interpret UFCE-based credit models.
- Conduct Way Out Analysis for IT and service-based organizations.
- Present a clear, data-driven credit recommendation.
Highlights
- Step-by-step guidance on building a credit risk model from the ground up.
- Practical application of industry-recognized credit risk frameworks.
- Real-world examples and sector-specific case studies.
- Coverage of both traditional and structural credit risk models.
- Hands-on exercises to reinforce analytical learning.
- Reference materials to support independent practice.
Requirements
- Basic understanding of finance and accounting principles.
- A basic understanding of key financial statements, including the balance sheet and income statement.
- General awareness of lending, credit, or risk management concepts is beneficial.
Target Audience
- Finance and Accounting Students seeking to build practical credit risk modeling skills and enhance employability in consulting or analytical roles.
- Finance Professionals, including credit analysts, risk analysts, investment bankers, and corporate finance specialists, are seeking to deepen their expertise in credit evaluation and modeling to advance their careers.
FAQ
Q1. Is this course suitable for beginners?
Yes, the course starts with foundational concepts and gradually progresses to advanced credit risk modeling techniques.
Q2. Does the course focus only on banks?
No, it covers credit risk across multiple contexts, including corporate, IT, bond-issuing, and financial institutions.
Q3. Are practical examples included?
Yes, the program includes real-world examples, case discussions, and applied exercises.
Q4. Will learners build a credit model during the course?
Yes, participants learn how to construct and evaluate a credit risk model step by step.
Career Benefits
- Enhances employability in credit risk, financial analysis, and risk management roles.
- Builds practical modeling skills valued by banks, consulting firms, and corporates.
- Strengthens decision-making capabilities through structured financial analysis.
- Supports career growth into advanced analytical, advisory, and leadership positions in finance and risk management.
