Credit Risk Professional Masterclass

Credit Risk Professional Masterclass

Fundamentals, Assessment, Portfolio Analysis, Stress Testing, Basel III, IFRS 9, and Emerging Trends

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Platform:
Online
In-class
Revised and Updated: 23 October 2026
Date Venue Duration
16 - 20 November 2026 Sandton, Gauteng 5 Days
04 - 05 February 2027 Sandton, Gauteng 2 Days
29 - 30 April 2027 Sandton, Gauteng 2 Days
21 - 22 June 2027 Sandton, Gauteng 2 Days
28 June - 02 July 2027 Sandton, Gauteng 5 Days

Course Introduction

Every lending decision an institution makes rests on a judgement about credit risk — and getting that judgement wrong, at scale, is how banks fail. This Credit Risk Professional Masterclass gives you the full toolkit: from the fundamentals of assessing a single borrower’s creditworthiness, through to stress-testing an entire portfolio against a severe economic shock.

 

The discipline itself is changing fast. AI-based credit scoring models are now standard at most major lenders, and with them come new questions: how do you validate a model you didn’t build by hand, prove it isn’t systematically biased against protected groups, and explain its decisions to a regulator or a rejected applicant? This course addresses those questions directly, alongside the regulatory foundations — Basel III’s capital adequacy requirements and IFRS 9’s expected credit loss provisioning — that govern the discipline regardless of which models sit underneath it.

Course Duration Options

This Credit Risk Professional Masterclass course is available in two formats, so you can choose the depth that fits your time and needs:

2-Day Essentials Core Foundations

Credit risk fundamentals, assessment techniques, portfolio management, stress testing, and emerging AI trends.

Ideal for: Those who need practical, immediate capability without an extended time commitment.

Course Objectives

  • Demonstrate a comprehensive understanding of credit risk concepts, regulatory frameworks, and credit risk models, including AI-based models
  • Apply diverse credit risk assessment techniques, including AI-assisted assessment, to evaluate borrower creditworthiness
  • Analyse credit risk within portfolio contexts and formulate diversification strategies
  • Evaluate portfolio resilience through stress testing, including stress testing AI credit models
  • Apply Basel III and IFRS 9 requirements to ensure capital adequacy, provisioning, and regulatory compliance
  • Understand algorithmic bias, fairness, and explainability requirements for AI use in lending

Who should attend?

  • Credit Risk Professionals: Analysts, Managers, and Professionals in Credit Risk Roles
  • Risk Management Practitioners: Risk Officers and Managers in Financial Institutions
  • Banking and Lending Personnel: Bankers, Lending Officers, and Loan Underwriters
  • Compliance and Regulatory Experts Aligning with Basel III and IFRS 9
  • Aspiring Credit Risk Professionals: Recent Graduates and Career Changers
Audit, Risk and Governance courses

Training Methodology

Our diverse instructional approaches ensure effective learning:

– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.

Training Outline

2-Day Essentials — Training Outline

DAY 1 — Foundations and Assessment
Session 1: Introduction to Credit Risk Management
  • Credit risk fundamentals and the role of the credit risk professional
  • Overview of regulatory frameworks: Basel III and IFRS 9
  • Credit risk models, including AI-based models, and credit scoring
Session 2: Credit Risk Analysis and Assessment
  • Financial statement analysis and qualitative/quantitative assessment techniques
  • Using AI-assisted tools to accelerate creditworthiness assessment
  • Loan structuring, documentation, and collateral valuation

DAY 2 — Portfolio Risk, Stress Testing, and What's Next
Session 3: Portfolio Management and Stress Testing
  • Portfolio credit risk and diversification strategies
  • Conducting stress tests, including stress testing AI credit models
  • Basel III and capital adequacy
Session 4: Close-Out — Emerging Trends and Your Action Plan
  • AI in credit scoring: algorithmic bias, fairness, and explainability for regulatory compliance
  • Fintech and climate change considerations in credit risk
  • Deciding whether the 5-Day Comprehensive programme is the right next step

5-Day Comprehensive — Training Outline

Module 1: Introduction to Credit Risk Management
  • Credit risk fundamentals: understanding its importance in the financial industry
  • Role of credit risk professionals: responsibilities and key functions
  • Regulatory framework: an overview of Basel III and IFRS 9
  • Credit risk models and measurement techniques, including AI-based models
  • Credit scoring and rating agencies
  • Case Study: Analysing credit reports to assess borrower creditworthiness.
Module 2: Credit Risk Analysis and Assessment
  • Detailed financial statement analysis
  • Credit risk assessment techniques: qualitative and quantitative approaches
  • Using AI-assisted tools to accelerate creditworthiness assessment
  • Calculating and managing credit risk exposure
  • Loan structuring and documentation best practices
  • Collateral valuation for risk mitigation
  • Case Study: Assessing credit risk for loan approval decisions.
Module 3: Credit Risk Mitigation Strategies
  • Credit risk mitigation techniques: enhancements, guarantees, and covenants
  • Introduction to credit derivatives
  • Credit insurance as a mitigation tool
  • Developing credit risk policy and procedures
  • Legal considerations in credit risk management
  • Case Study: Designing risk mitigation strategies for different scenarios.
Module 4: Portfolio Management and Stress Testing
  • Understanding credit risk within a portfolio context
  • Portfolio diversification strategies
  • Conducting stress tests, including stress testing AI credit models, to assess portfolio resilience
  • Basel III and capital adequacy: regulations and implications for banks
  • Credit risk management best practices and challenges in banking
  • Case Study: Stress testing a credit portfolio.
Module 5: Emerging Trends
  • Fintech and credit risk: the impact of fintech innovation
  • AI in credit scoring: algorithmic bias, fair lending, and explainable AI for regulatory compliance
  • Climate change and credit risk: integrating climate considerations
  • Latest developments and trends
  • Comprehensive review of key concepts covered

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Success Stories

Discover how our courses enhance professionals’ effectiveness in their workplaces.

Central Bank of Lesotho

Fraud Risk Management

The Fraud Risk Management training was clear, practical, and very relevant to day-to-day work. Content was well structured and the real world case studies made concepts easy to apply. Presenter knowledge and engagement kept the session interactive. Overall a valuable program that strengthened my understanding of fraud detection, prevention, and regulatory requirements.

Central Bank of Lesotho

Fraud Risk Management

The facilitator was exceptionally good, approachable eloquent and was able to structure the course content to relate to our specific work designations, it was just perfect service delivery

Central Bank of Lesotho

Fraud Risk Management

Keep up the good work which I experienced during my training being training materials offered and great hospitality we received from all the staff members

Centenary Rural Development Group Ltd

Risk Management for Risk champions

Very informative course with good content and benchmarks of key players in South Africa. We are able to agree a plan on how to build an enterprise risk management framework for a developing group of companies. Several references to guide us and experienced Facilitators

GEMS

Auditing the ESG Process Masterclass

Very happy with the training. It was excellently delivered and comprehensively covered all critical aspects of ESG and effectively contextualised them within the environments of our respective organisations.

North West Gambling Board

Risk Management in the Public Sector

The course was eye opening and exceeded my expectations.

FAQs – Credit Risk Professional Masterclass

Develop advanced credit risk skills covering credit assessment, risk analysis, portfolio management, mitigation strategies, monitoring, and informed lending decisions.

What is covered in the Credit Risk Professional Masterclass?
The masterclass covers financial statement analysis for credit assessment, credit scoring models, counterparty risk evaluation, Expected Credit Loss (ECL) under IFRS 9, stress testing credit portfolios, collateral valuation, and workout strategies for non-performing loans.
Who should attend this Credit Risk Professional Masterclass?
This training is designed for credit risk managers, credit analysts, commercial lenders, risk directors, portfolio managers, retail and corporate credit officers, financial controllers, and regulatory risk specialists.
How does this course address credit rating methodologies and scoring models?
Delegates analyze quantitative and qualitative credit evaluation models, learning how to determine Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and internal credit rating assignments.
Will delegates gain practical insights into IFRS 9 credit impairment and provisioning?
Yes. The curriculum explores the IFRS 9 three-stage impairment model, forward-looking macroeconomic modeling, calculation of Expected Credit Losses, and regulatory capital requirements under Basel frameworks.
Does the masterclass cover managing non-performing loans (NPLs) and loan restructuring?
Yes. The course provides actionable techniques for identifying early warning indicators, managing distressed debt, structuring loan workouts, establishing recovery strategies, and maximizing collateral liquidation value.
Why is advanced credit risk analysis vital for lending and financial institutions?
Rigorous credit risk assessment protects bank balance sheets, minimizes loan default losses, optimizes risk-adjusted capital returns, and ensures compliance with international banking regulations.

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