
Credit Risk Analysis Course
Master the full spectrum of credit risk analysis, from reading financial statements and building scoring models to structuring credit facilities and managing portfolio-level risk. This course gives finance professionals the analytical tools and frameworks used by banks, credit funds, and rating agencies worldwide. Whether you assess corporate borrowers or manage a loan book, you will finish with skills that translate directly into better credit decisions.
What you will learn:
You will build a comprehensive credit risk skill set, beginning with the fundamentals of default, loss, and the credit lifecycle, then progressing through financial statement analysis, ratio benchmarking, and qualitative borrower assessment. You will construct and validate credit scoring models using statistical and judgmental methods, and learn to structure facilities with suitable covenants, collateral, and pricing. The course also covers portfolio concentration, stress testing, regulatory capital under Basel, and distressed credit workout strategies. Additional modules address machine-learning applications, structured finance, ethics, and professional credit communication. By the end, you will be able to analyse, structure, and manage credit risk for individual borrowers and portfolios.
How you study in practice Credit Risk Analysis Course
How you practise Credit Risk Analysis Course
For companies looking to train their team
With Dedika for businesses, the course includes exercises and examples tailored to your own business and the specific needs of your company.
Course content
8 Chapters • 39 LessonsDuration between 4 and 360 hours (you decide)
Chapter 1HideHide detailsSee detailsFoundations of Credit Risk
Foundations of Credit Risk
Lesson 1 • The Credit Lifecycle
Traces a credit facility from origination through repayment or default. Connects process stages to risk events analysed later in the course.
Lesson 2 • Key Stakeholders in Credit Markets
Identifies lenders, borrowers, guarantors, and regulators and their incentives. Provides context for understanding risk-taking behaviour throughout the course.
Lesson 3 • Defining Credit Risk and Its Scope
Establishes precise definitions of credit risk, default, and loss. Anchors all subsequent analysis in shared terminology and conceptual boundaries.
Lesson 4 • Sources and Drivers of Credit Loss
Decomposes credit loss into probability, exposure, and severity components. Introduces the loss equation that underpins quantitative chapters.
Chapter 2HideHide detailsSee detailsFinancial Statement Analysis for Credit
Financial Statement Analysis for Credit
Lesson 1 • Spreading and Normalising Financials
Standardises multi-year financials for trend and peer comparison. Produces the adjusted data inputs used in ratio analysis and modelling.
Lesson 2 • Cash Flow Analysis
Prioritises cash flow over accrual earnings for debt serviceability assessment. Demonstrates why free cash flow is the primary repayment source.
Lesson 3 • Reading the Income Statement
Focuses on revenue quality, margin trends, and interest coverage as credit signals. Builds the analytical habit of questioning reported earnings.
Lesson 4 • Identifying Accounting Red Flags
Trains analysts to detect manipulation, aggressive policies, and disclosure gaps. Directly reduces the risk of lending based on misleading financials.
Lesson 5 • Balance Sheet Strength Assessment
Evaluates asset quality, leverage, and liquidity from the balance sheet. Connects balance sheet structure to default risk and collateral availability.
Chapter 3HideHide detailsSee detailsCredit Ratio Analysis and Benchmarking
Credit Ratio Analysis and Benchmarking
Lesson 1 • Liquidity and Working Capital Ratios
Assesses short-term solvency through current, quick, and cash ratios. Identifies liquidity risk that may precede default even for profitable firms.
Lesson 2 • Ratio Trend Analysis and Scoring
Combines multiple ratios into a directional trend view and simple scoring framework. Prepares students for the quantitative credit scoring models in Chapter 5.
Lesson 3 • Coverage and Serviceability Ratios
Quantifies a borrower's ability to service debt from earnings and cash flow. Links coverage ratios to covenant design covered in later chapters.
Lesson 4 • Industry Benchmarking Techniques
Contextualises ratios within sector norms and business model differences. Prevents misclassification of risk due to industry-specific capital structures.
Lesson 5 • Leverage Ratios in Depth
Calculates and interprets debt-to-equity, debt-to-EBITDA, and net leverage metrics. Establishes leverage thresholds as early warning indicators.
Chapter 4HideHide detailsSee detailsQualitative Credit Assessment
Qualitative Credit Assessment
Lesson 1 • Environmental and Operational Risk Factors
Identifies regulatory, reputational, and operational risks that affect debt repayment capacity. Integrates non-financial risk into the overall credit assessment.
Lesson 2 • Industry and Competitive Analysis
Applies structured frameworks to assess industry attractiveness and competitive intensity. Grounds financial ratios in the business environment that generates them.
Lesson 3 • Business Model and Strategy Evaluation
Assesses revenue model sustainability, diversification, and strategic coherence. Identifies business model risks that financial statements alone cannot reveal.
Lesson 4 • Management and Governance Quality
Evaluates leadership experience, board oversight, and ownership structure as credit factors. Recognises that governance failures are a leading cause of unexpected defaults.
Lesson 5 • Synthesising the Qualitative Narrative
Combines qualitative findings into a coherent credit story that supports or challenges the financial picture. Produces the narrative section of a credit memorandum.
Chapter 5HideHide detailsSee detailsCredit Scoring and Rating Models
Credit Scoring and Rating Models
Lesson 1 • Statistical Credit Models
Covers logistic regression, discriminant analysis, and survival models for default prediction. Connects statistical outputs to practical credit decision thresholds.
Lesson 2 • Model Validation and Performance Testing
Applies discrimination, calibration, and stability tests to assess model reliability. Ensures models remain predictive as economic conditions change.
Lesson 3 • Principles of Credit Scoring
Explains the logic of scoring models, variable selection, and score-to-default mapping. Establishes the theoretical basis for all model types covered in this chapter.
Lesson 4 • Behavioural and Application Scoring
Distinguishes application scoring at origination from behavioural scoring during the credit lifecycle. Applies both to portfolio monitoring and early warning systems.
Lesson 5 • Internal Rating System Design
Guides construction of a master rating scale with grade definitions and probability of default anchors. Aligns internal ratings with regulatory capital requirements.
Chapter 6HideHide detailsSee detailsCredit Structuring and Documentation
Credit Structuring and Documentation
Lesson 1 • Credit Documentation Essentials
Reviews key provisions in loan agreements, security documents, and intercreditor arrangements. Prepares analysts to identify documentation gaps that increase credit risk.
Lesson 2 • Pricing Credit Risk
Calculates risk-adjusted pricing using cost of funds, expected loss, and return targets. Demonstrates how pricing decisions reflect the credit assessment performed earlier.
Lesson 3 • Collateral and Security Structures
Evaluates collateral types, valuation methods, and perfection requirements. Quantifies the loss mitigation effect of security on expected loss.
Lesson 4 • Facility Types and Their Risk Profiles
Compares term loans, revolving facilities, letters of credit, and trade finance instruments. Matches facility type to borrower need and risk profile.
Lesson 5 • Covenant Design and Monitoring
Designs financial and non-financial covenants calibrated to borrower risk and facility purpose. Explains how covenants provide early warning and lender control.
Chapter 7HideHide detailsSee detailsPortfolio Credit Risk Management
Portfolio Credit Risk Management
Lesson 1 • Portfolio Concentration and Diversification
Measures single-name, sector, and geographic concentration and their impact on portfolio loss. Introduces diversification as a primary risk mitigation tool.
Lesson 2 • Credit Correlation and Contagion
Explains how default correlation amplifies portfolio losses beyond individual borrower risk. Connects correlation concepts to stress testing and capital allocation.
Lesson 3 • Credit Risk Limits and Appetite Frameworks
Designs a limit structure aligned with the institution's risk appetite and capital base. Demonstrates how limits translate strategy into operational credit decisions.
Lesson 4 • Loan Loss Provisioning and Impairment
Applies expected credit loss provisioning standards to stage loans and calculate allowances. Connects provisioning to financial reporting and regulatory compliance.
Lesson 5 • Expected and Unexpected Loss
Distinguishes expected loss provisioned through pricing from unexpected loss requiring capital. Establishes the foundation for economic capital and regulatory capital frameworks.
Chapter 8HideHide detailsSee detailsStress Testing and Advanced Credit Risk
Stress Testing and Advanced Credit Risk
Lesson 1 • Credit Risk Mitigation Techniques
Evaluates netting, collateral agreements, credit derivatives, and securitisation as risk transfer tools. Assesses residual and counterparty risks introduced by mitigation.
Lesson 2 • Scenario Design and Macro Linkages
Constructs adverse and severely adverse macroeconomic scenarios and links them to credit parameters. Translates macro shocks into borrower-level PD and LGD changes.
Lesson 3 • Stress Testing Fundamentals
Defines stress testing objectives, scenario types, and governance requirements. Positions stress testing as a forward-looking complement to historical credit analysis.
Lesson 4 • Integrating Stress Results into Decisions
Translates stress test outputs into capital planning, limit adjustments, and strategic decisions. Closes the loop between risk measurement and risk management action.
Lesson 5 • Credit Value at Risk
Calculates credit VaR using analytical and simulation approaches for portfolio loss quantification. Connects credit VaR to economic capital and risk limit setting.
Your valid completion certificate
This course is for you:
Junior credit analysts: looking to build a rigorous, structured analytical foundation.
Commercial bankers: wanting to sharpen borrower assessment and loan structuring skills.
Finance graduates: entering lending, credit funds, or corporate treasury for the first time.
Risk managers: seeking to formalise intuitive credit judgment into repeatable frameworks.
Accountants: transitioning into credit roles at banks or alternative lending platforms.
Investment analysts: expanding coverage into leveraged loans or distressed debt markets.
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