Non-Performing Loan Resolution and Credit Portfolio Rehabilitation for Cooperatives Training Course

Course Introduction

Non-performing loans present one of the most significant threats to the financial sustainability, liquidity, profitability, and member confidence of cooperative financial institutions. This course provides a comprehensive and practical approach to identifying distressed credit early, diagnosing the causes of non-performance, developing effective resolution strategies, and rehabilitating impaired loan portfolios without compromising responsible lending principles.

The programme examines the complete lifecycle of problem loans, from early warning signals and delinquency classification through restructuring, negotiation, recovery, provisioning, write-offs, collateral realization, and post-recovery monitoring. Participants will learn how to distinguish temporary repayment difficulties from deeper financial distress and select appropriate interventions based on borrower circumstances, recovery prospects, exposure levels, and institutional risk appetite.

A strong focus is placed on credit portfolio rehabilitation rather than isolated debt collection. Participants will explore how to segment non-performing loans, prioritize recovery actions, assess portfolio concentration, strengthen credit controls, improve monitoring systems, and develop measurable recovery plans. The course also addresses how management information and portfolio analytics can support faster decisions and more effective allocation of recovery resources.

The training further explores practical approaches to loan restructuring, rehabilitation, refinancing, negotiated settlements, repayment arrangements, collateral enforcement, and escalation of difficult cases. Participants will examine how to conduct productive borrower negotiations while protecting cooperative interests, maintaining ethical standards, respecting applicable legal requirements, and preserving viable member relationships wherever recovery remains commercially reasonable.

Emerging risks and technologies are integrated throughout the programme, including digital lending, alternative credit data, artificial intelligence, predictive analytics, automated collections, cybersecurity, fraud detection, climate-related credit risks, and changing regulatory expectations. These developments are considered from the perspective of how cooperatives can improve credit portfolio resilience while managing technology, governance, data privacy, and responsible-finance risks.

Through case studies, portfolio diagnostics, practical exercises, recovery simulations, restructuring scenarios, and strategic discussions, participants will develop actionable capabilities for reducing non-performing loans and improving portfolio quality. The programme is designed to help cooperative institutions strengthen cash flow, recover distressed assets, improve credit governance, and establish sustainable systems for preventing future deterioration.

Duration

10 days

Who Should Attend

• Cooperative credit managers responsible for managing distressed and non-performing loan portfolios.

• Credit officers involved in loan monitoring, delinquency management, restructuring, and recovery activities.

• Loan recovery officers responsible for collections, negotiations, settlements, and rehabilitation of troubled accounts.

• SACCO managers seeking practical strategies for reducing portfolio-at-risk and improving loan recovery performance.

• Members of cooperative credit committees involved in reviewing problem loans and approving restructuring proposals.

• Risk management professionals responsible for credit risk identification, portfolio monitoring, and remedial action.

• Internal auditors assessing loan classification, provisioning, recovery controls, and credit portfolio weaknesses.

• Finance and accounting professionals responsible for impairment, provisioning, write-offs, and loan portfolio reporting.

• Cooperative board members seeking stronger oversight of non-performing loans and credit portfolio rehabilitation.

• Compliance officers monitoring responsible lending, recovery practices, regulatory requirements, and borrower protection.

• Branch managers supervising credit quality, delinquency trends, member relationships, and recovery performance.

• Legal and collections professionals supporting collateral enforcement, settlements, litigation, and recovery processes.

• Portfolio analysts and management information specialists responsible for credit performance reporting and risk analytics.

• Cooperative consultants and advisors supporting credit risk improvement, institutional restructuring, and portfolio recovery.

• Senior executives responsible for strengthening institutional liquidity, profitability, asset quality, and long-term financial resilience.

Course Objectives

• Develop advanced skills for identifying, classifying, analysing, and prioritizing non-performing loans according to severity, causes, exposure, and recovery potential.

• Enable participants to diagnose the underlying financial, operational, behavioural, economic, and institutional causes contributing to loan delinquency and default.

• Strengthen participants’ ability to design evidence-based loan resolution strategies that balance recovery outcomes, borrower viability, institutional interests, and responsible lending.

• Equip participants with practical techniques for restructuring distressed facilities through revised repayment schedules, appropriate concessions, refinancing, and rehabilitation arrangements.

• Improve participants’ ability to analyse loan portfolios using delinquency ratios, portfolio-at-risk indicators, ageing reports, concentration measures, and recovery performance metrics.

• Develop effective early warning systems capable of detecting borrower deterioration before temporary repayment problems develop into serious non-performing exposures.

• Strengthen negotiation and communication capabilities for engaging distressed borrowers, resolving disputes, establishing realistic repayment commitments, and improving voluntary recovery outcomes.

• Enhance knowledge of collateral assessment, realization, guarantees, settlements, legal escalation, write-offs, and other remedial tools used in problem-loan management.

• Enable participants to strengthen internal credit controls and identify weaknesses in appraisal, approval, disbursement, monitoring, documentation, and recovery processes.

• Introduce advanced approaches to digital collections, predictive analytics, automated monitoring, artificial intelligence, alternative data, and technology-enabled portfolio rehabilitation.

• Improve understanding of provisioning, impairment, write-offs, recovery accounting, portfolio reporting, governance, regulatory compliance, and management responsibilities for distressed credit.

• Enable participants to develop practical portfolio rehabilitation action plans that reduce non-performing loans, improve recovery rates, strengthen liquidity, and support sustainable cooperative growth.

Comprehensive Course Outline

Module 1: Foundations of Non-Performing Loan Management

• Definitions, characteristics, causes, classification principles, and financial consequences of non-performing cooperative loans.

• The relationship between loan quality, liquidity, profitability, capital adequacy, member confidence, and institutional sustainability.

• Key responsibilities of boards, management, credit committees, credit officers, auditors, risk teams, and recovery personnel.

• Emerging challenges affecting cooperative loan quality, including economic volatility, digital lending, fraud, climate risks, and changing borrower behaviour.

Module 2: Identification and Classification of Distressed Loans

• Techniques for identifying delinquency patterns, repayment deterioration, missed instalments, covenant breaches, and other indicators of credit distress.

• Classification frameworks for differentiating performing, watch-list, delinquent, impaired, and non-performing loan exposures.

• Practical analysis of ageing schedules, overdue reports, portfolio-at-risk measures, and borrower risk classifications.

• Emerging approaches using automated alerts, behavioural analytics, transaction monitoring, and predictive models to identify distressed accounts.

Module 3: Root-Cause Analysis of Loan Default

• Systematic diagnosis of borrower-specific, business-related, economic, operational, behavioural, and institutional causes of loan default.

• Assessment of whether repayment difficulties are temporary liquidity problems, structural weaknesses, strategic defaults, or signs of insolvency.

• Techniques for analysing borrower cash flows, business performance, financial obligations, household pressures, and changing repayment capacity.

• Emerging risks associated with inflation, unemployment, climate disruption, supply-chain shocks, digital fraud, and macroeconomic instability.

Module 4: Credit Portfolio Diagnostics and Segmentation

• Comprehensive portfolio analysis using delinquency trends, exposure concentrations, sector performance, borrower categories, and repayment behaviour.

• Segmentation of problem loans according to risk level, outstanding balance, collateral position, recovery probability, and borrower viability.

• Development of priority recovery lists, watch lists, exception reports, and management dashboards for effective portfolio intervention.

• Emerging use of data visualization, predictive analytics, artificial intelligence, and real-time portfolio monitoring for credit rehabilitation.

Module 5: Early Warning Systems and Preventive Intervention

• Identification of quantitative and qualitative early warning indicators that signal deterioration before loans become seriously delinquent.

• Development of borrower monitoring schedules, risk triggers, escalation thresholds, exception reports, and remedial action procedures.

• Use of account activity, repayment behaviour, business information, market developments, and member engagement to anticipate credit problems.

• Emerging application of machine learning, behavioural scoring, automated alerts, alternative data, and predictive credit risk technologies.

Module 6: Non-Performing Loan Resolution Strategies

• Frameworks for selecting appropriate resolution strategies based on borrower viability, recovery potential, exposure size, collateral, and institutional risk.

• Comparison of negotiation, restructuring, refinancing, settlements, collateral realization, legal action, and other remedial recovery approaches.

• Development of account-level recovery plans with clear actions, responsibilities, timelines, targets, documentation, and escalation requirements.

• Emerging resolution practices using technology-enabled collections, digital communication, analytics-driven prioritization, and personalized recovery strategies.

Module 7: Loan Restructuring and Rehabilitation

• Principles for restructuring viable distressed borrowers while maintaining disciplined assessment of repayment capacity and future sustainability.

• Evaluation of revised repayment periods, moratoriums, instalment changes, refinancing, consolidation, interest adjustments, and other restructuring options.

• Development of rehabilitation plans that address the underlying causes of distress rather than simply postponing existing repayment problems.

• Emerging restructuring considerations involving climate-related disruptions, digital businesses, irregular incomes, economic shocks, and changing market conditions.

Module 8: Recovery Negotiation and Borrower Engagement

• Advanced negotiation techniques for establishing realistic repayment commitments while maintaining professional and constructive borrower relationships.

• Preparation for recovery meetings through exposure analysis, borrower profiling, repayment capacity assessment, and clearly defined negotiation objectives.

• Handling difficult conversations, broken promises, disputes, resistance, strategic defaults, and emotionally sensitive recovery situations.

• Emerging use of digital engagement channels, automated communication, behavioural insights, customer segmentation, and ethical collections technology.

Module 9: Collateral Realization and Alternative Recovery Tools

• Assessment of collateral quality, ownership, valuation, liquidity, enforceability, insurance, documentation, and recovery implications.

• Strategic use of guarantees, deposits, insurance, third-party arrangements, assignments, negotiated settlements, and voluntary asset sales.

• Planning collateral realization processes while considering legal requirements, costs, timing, market conditions, and expected net recovery.

• Emerging developments in electronic security records, digital asset verification, automated valuation, and technology-supported collateral management.

Module 10: Legal, Regulatory and Ethical Recovery Frameworks

• Legal and regulatory considerations affecting loan recovery, restructuring, collateral enforcement, borrower rights, and institutional responsibilities.

• Importance of complete documentation, notices, evidence, agreements, approvals, correspondence, and procedural compliance during recovery actions.

• Ethical standards for collections, including confidentiality, fair treatment, responsible communication, data protection, and prevention of abusive practices.

• Emerging regulatory concerns involving digital lending, consumer protection, privacy, electronic contracts, artificial intelligence, and responsible recovery practices.

Module 11: Provisioning, Impairment and Loan Write-Offs

• Principles of loan impairment, provisioning, classification, write-offs, recoveries, and financial reporting for distressed cooperative credit exposures.

• Assessment of expected losses, recovery prospects, collateral values, repayment patterns, and other factors influencing impairment decisions.

• Governance and approval procedures for write-offs while maintaining accurate records and continuing appropriate recovery efforts.

• Emerging approaches to automated impairment calculations, predictive loss modelling, scenario analysis, and data-driven provisioning methodologies.

Module 12: Fraud, Misconduct and Credit Control Failures

• Identification of fraudulent borrower information, manipulated financial statements, fictitious transactions, insider abuse, collusion, and documentation irregularities.

• Review of control weaknesses across credit appraisal, approval, disbursement, monitoring, restructuring, recovery, and write-off processes.

• Development of preventive and detective controls that reduce opportunities for fraud, negligence, conflicts of interest, and unauthorized credit decisions.

• Emerging fraud threats involving synthetic identities, cybercrime, deepfakes, digital documents, account takeover, automated attacks, and artificial intelligence.

Module 13: Digital Collections and Technology-Enabled Recovery

• Application of mobile platforms, digital messaging, automated reminders, customer portals, and electronic payment systems in loan recovery operations.

• Using data analytics to prioritize collection activities according to borrower behaviour, exposure, risk, contactability, and probability of recovery.

• Opportunities and limitations of automated collections while preserving human judgement, fairness, transparency, and responsible borrower engagement.

• Emerging technologies including artificial intelligence, predictive collections, conversational systems, digital identity, and real-time recovery dashboards.

Module 14: Credit Portfolio Rehabilitation and Performance Improvement

• Development of institution-wide rehabilitation programmes targeting non-performing loan reduction, recovery acceleration, and improved asset quality.

• Setting measurable recovery targets, assigning responsibilities, establishing timelines, monitoring performance, and reporting progress to management and boards.

• Strategies for improving portfolio quality through stronger appraisal, enhanced monitoring, effective restructuring, disciplined recovery, and improved credit governance.

• Emerging portfolio rehabilitation approaches using stress testing, scenario planning, predictive analytics, climate-risk assessment, and dynamic risk segmentation.

Module 15: Governance, Risk Management and Institutional Resilience

• Strengthening board and management oversight of credit risk, non-performing loans, recovery performance, portfolio concentration, and remedial strategies.

• Integrating credit risk management, internal audit, compliance, operational controls, portfolio analytics, and recovery functions into a coordinated framework.

• Developing institutional risk appetite, recovery policies, escalation procedures, accountability structures, and performance management systems.

• Emerging governance issues involving algorithmic decision-making, data governance, cybersecurity, sustainability, climate risk, and responsible financial innovation.

Module 16: Future of Cooperative Credit Portfolio Rehabilitation

• Designing integrated strategies that connect prevention, early intervention, resolution, restructuring, recovery, reporting, and continuous portfolio improvement.

• Stress-testing cooperative credit portfolios against inflation, economic recession, unemployment, climate events, market disruptions, and liquidity pressures.

• Future trends in cooperative lending, including embedded finance, artificial intelligence, open finance, alternative data, digital identity, and sustainable credit.

• Developing practical institutional action plans for reducing non-performing loans, strengthening recovery capabilities, improving portfolio resilience, and sustaining member value.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.