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Finance & Accounting

Retail Credit Risk Management Training

Retail Credit Risk Management Training equips banking and financial services professionals with the analytical frameworks, regulatory knowledge, and practical tools needed to identify, measure, and mitigate credit risk in retail lending portfolios. Participants will explore credit scoring, portfolio stress testing, arrears management, and regulatory compliance across consumer, mortgage, and SME lending segments. This programme blends quantitative techniques with strategic risk governance to build well-rounded retail credit risk practitioners.

⏱ 5 Days 📡 In-Person 🎯 Intermediate From KES 80,000
🏦 Part of our Banking & Financial Services Industry Training Series — browse all related courses →

About This Course

Retail credit risk remains one of the most consequential disciplines within banking and consumer finance. As lending volumes grow and borrower profiles diversify, financial institutions face mounting pressure to make faster, more accurate credit decisions while maintaining portfolio quality and regulatory compliance. A single misjudged lending strategy or a poorly calibrated credit scoring model can erode profitability, trigger regulatory scrutiny, and undermine stakeholder confidence.

This five-day Retail Credit Risk Management Training programme by TrainingComplex is designed to give credit analysts, risk officers, and lending managers the conceptual depth and practical capability to manage retail credit risk with precision and confidence. The course covers the complete credit risk lifecycle — from origination and underwriting through to arrears management, write-off, and recovery — with a focus on real-world application in consumer lending, mortgage finance, and small business credit.

Participants will gain hands-on experience with credit scoring methodologies, behavioural analytics, expected loss modelling, and IFRS 9 provisioning frameworks. The programme also addresses portfolio stress testing, early warning indicators, and the governance structures that effective retail risk functions require. Whether you work in a commercial bank, microfinance institution, digital lender, or development finance organisation, this course will sharpen your ability to balance credit growth with sound risk management.

Upon completion, participants will leave with a comprehensive toolkit of models, frameworks, and practical templates that can be immediately applied within their organisations to strengthen retail credit risk decision-making at every level.

Who Should Attend

Learning Objectives

Course Modules

Module 1: Foundations of Retail Credit Risk

  • Definition and scope of retail credit risk in consumer, mortgage, and SME lending
  • The retail credit risk lifecycle: origination, monitoring, arrears, and recovery
  • Key differences between retail and corporate credit risk management
  • Types of retail borrowers and their risk profiles: employed, self-employed, micro-entrepreneurs
  • Sources of credit risk: default risk, concentration risk, and portfolio volatility
  • The business cost of poor credit risk management: NPL impact, provisioning, and reputational damage

Module 2: Credit Policy and Risk Appetite Frameworks

  • Designing a retail credit policy: purpose, scope, and governance
  • Setting and communicating risk appetite for retail lending
  • Lending criteria and eligibility rules: income thresholds, debt-to-income ratios, and tenors
  • Delegated lending authorities and credit committee structures
  • Policy exceptions: process, documentation, and risk controls
  • Reviewing and updating credit policy in response to portfolio performance and market changes

Module 3: Borrower Assessment and Creditworthiness Analysis

  • The five Cs of credit applied to retail borrowers: character, capacity, capital, collateral, conditions
  • Income verification methodologies for salaried, informal, and business borrowers
  • Analysing personal financial statements and bank account behaviour
  • Debt burden and affordability calculations across multiple obligations
  • Challenges in assessing thin-file and first-time borrowers
  • Using alternative data sources: utility payments, mobile money history, and psychometric assessments

Module 4: Credit Scoring and Automated Decisioning

  • Purpose and mechanics of credit scoring in retail lending
  • Application scorecards: development, variable selection, and weight of evidence methodology
  • Behavioural scorecards and their role in limit management and retention decisions
  • Cutoff scores, accept/reject strategies, and score-to-odds relationships
  • Model validation, monitoring, and Gini coefficient interpretation
  • AI and machine learning in credit scoring: opportunities, risks, and governance considerations

Module 5: Risk Metrics and Expected Loss Modelling

  • Probability of Default (PD): definition, estimation approaches, and data requirements
  • Loss Given Default (LGD): collateral, recovery rates, and workout costs
  • Exposure at Default (EAD): committed and uncommitted exposure in retail portfolios
  • Expected Loss (EL) calculation and its role in pricing and provisioning
  • Unexpected loss and economic capital concepts for retail portfolios
  • Vintage analysis and roll-rate matrices for tracking portfolio performance over time

Module 6: IFRS 9 Expected Credit Loss and Impairment Reporting

  • Overview of IFRS 9 and its implications for retail lending institutions
  • The three-stage ECL model: staging criteria and significant increase in credit risk (SICR)
  • Measuring 12-month versus lifetime expected credit losses
  • Forward-looking macroeconomic overlays and probability-weighted scenarios
  • Practical challenges in IFRS 9 implementation: data, models, and governance
  • Disclosure requirements and communicating ECL outcomes to stakeholders

Module 7: Collateral, Guarantees, and Credit Risk Mitigation

  • Types of collateral used in retail lending: property, vehicles, savings, and movable assets
  • Valuation methodologies and haircuts for retail collateral
  • Legal enforceability of security interests across different jurisdictions
  • Personal guarantees and co-borrower arrangements: effectiveness and limitations
  • Credit insurance and loan protection products as risk mitigation tools
  • Monitoring collateral values and triggering revaluation events

Module 8: Portfolio Monitoring and Early Warning Systems

  • Designing a retail portfolio monitoring framework: metrics, frequency, and escalation triggers
  • Key portfolio health indicators: NPL ratio, PAR, coverage ratio, and delinquency roll rates
  • Building and deploying early warning indicator dashboards
  • Account-level behavioural signals of emerging credit stress
  • Segmentation and concentration risk monitoring within retail portfolios
  • Governance of portfolio monitoring: reporting lines, committee oversight, and corrective action protocols

Module 9: Arrears Management, Restructuring, and Recovery

  • Stages of retail arrears: pre-delinquency, early arrears, and chronic default
  • Differentiating can't-pay from won't-pay borrowers: assessment and appropriate response
  • Collections strategies by arrears stage: self-cure, outbound contact, and field collections
  • Loan restructuring and rescheduling: criteria, conditions, and forbearance governance
  • Write-off policies, debt sale, and the use of external recovery agencies
  • Rehabilitating recovered accounts and managing cured borrower relationships

Module 10: Stress Testing, Regulatory Compliance, and Risk Governance

  • Retail credit portfolio stress testing: scenario design and macroeconomic variable mapping
  • Basel III/IV capital adequacy implications for retail credit portfolios
  • Central bank prudential guidelines on provisioning, NPL classification, and credit concentration
  • Credit risk governance structures: roles of the board, risk committee, and credit risk function
  • Conduct risk and responsible lending obligations in retail credit
  • Building a continuous improvement culture: lessons learned reviews, model recalibration, and policy evolution

Requirements & Prerequisites

Participants should have a foundational understanding of banking or financial services operations and be familiar with basic financial concepts such as interest rates, loan structures, and financial statements. Some prior exposure to credit analysis, lending processes, or risk management is beneficial, though not mandatory for those with strong finance backgrounds. A working knowledge of Microsoft Excel is recommended, as several quantitative exercises in the course involve data-based modelling tasks.

Training Methodology

Organisational Benefits

Where Is Retail Credit Risk Management Training Offered?

This course runs in-person across: Nairobi, Johannesburg, Addis Ababa, Kigali, Nakuru, Abuja, Zanzibar, Pretoria, Dubai, Kisumu, Naivasha, Lagos, Kampala, Accra, Dar es Salaam, Arusha, Cape Town, Riyadh, Mombasa, plus Live Virtual (online) cohorts. Browse live dates for your city below.

Upcoming Schedules

LocationFormatDatesPrice
Nairobi, Kenya In-Person 5 Oct 2026 – 9 Oct 2026 KES 105,000
Johannesburg, South Africa In-Person 5 Oct 2026 – 9 Oct 2026 USD 3,500
Addis Ababa, Ethiopia In-Person 12 Oct 2026 – 16 Oct 2026 USD 2,400
Kigali, Rwanda In-Person 12 Oct 2026 – 16 Oct 2026 USD 1,900
Live Virtual Online 17 Oct 2026 – 8 Nov 2026 KES 80,000
Nakuru, Kenya In-Person 19 Oct 2026 – 23 Oct 2026 KES 120,000
Abuja, Nigeria In-Person 19 Oct 2026 – 23 Oct 2026 USD 2,800
Zanzibar, Tanzania In-Person 19 Oct 2026 – 23 Oct 2026 USD 2,500
Pretoria, South Africa In-Person 19 Oct 2026 – 23 Oct 2026 USD 3,300
Dubai, United Arab Emirates In-Person 19 Oct 2026 – 23 Oct 2026 USD 4,100
Kisumu, Kenya In-Person 19 Oct 2026 – 23 Oct 2026 KES 120,000
Naivasha, Kenya In-Person 19 Oct 2026 – 23 Oct 2026 KES 115,000
Live Virtual Online 19 Oct 2026 – 23 Oct 2026 KES 80,000
Lagos, Nigeria In-Person 26 Oct 2026 – 30 Oct 2026 USD 2,500
Kampala, Uganda In-Person 26 Oct 2026 – 30 Oct 2026 USD 1,900

+237 more dates — view live schedule →

Frequently Asked Questions

Do I need a technical or quantitative background to attend this course?

A strong quantitative background is not required, though comfort with basic numerical concepts and Microsoft Excel is helpful. The course explains all statistical and modelling concepts in accessible, practical terms, and quantitative exercises are structured so that participants can engage meaningfully regardless of their mathematical background.

Is this course relevant to microfinance institutions and digital lenders, or only traditional banks?

The course is designed to be highly relevant across all retail lending contexts, including commercial banks, microfinance institutions, SACCOs, and fintech or digital lenders. Case studies and examples are drawn from a range of institutional settings, including markets across Africa and the Gulf, to ensure broad applicability.

Will participants receive a certificate upon completion?

Yes. Participants who attend and complete the full five-day programme will receive a Certificate of Completion from TrainingComplex, confirming their professional development in Retail Credit Risk Management.

How practical is the course — will there be hands-on exercises?

The course is highly practical. Participants engage in scorecard-building exercises, credit file reviews, IFRS 9 provisioning calculations, and portfolio stress testing simulations throughout the week. Each participant also leaves with a set of ready-to-use templates and frameworks applicable to their own organisation.

Can this training be delivered in-house for an entire credit team?

Yes. TrainingComplex offers customised in-house delivery of this programme for financial institutions wishing to train their credit teams together. In-house delivery allows the content to be tailored to your organisation's specific portfolio, policies, and regulatory environment. Contact TrainingComplex directly to discuss your requirements.

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