Course Introduction
Liquidity risk is the risk that an organization may be unable to meet financial obligations when they become due without incurring unacceptable losses or disrupting critical operations. This course provides an audit-focused framework for evaluating liquidity risk governance, liquidity controls, cash flow forecasting, funding structures, liquidity buffers, contingency arrangements, stress testing, and management responses across banks and other financial institutions.
The course examines the complete liquidity risk management lifecycle, beginning with liquidity risk identification and risk appetite and continuing through cash flow measurement, funding analysis, limit monitoring, liquidity buffer management, stress testing, contingency funding planning, escalation, and reporting. Participants will develop practical audit techniques for determining whether liquidity controls are appropriately designed, independently monitored, and supported by reliable data.
Particular attention is given to contractual and behavioral cash flows, funding concentration, maturity mismatches, deposit stability, wholesale funding, intraday liquidity, collateral availability, liquid asset portfolios, and contingent obligations. Participants will learn how auditors can assess assumptions, data quality, forecasting methodologies, and management judgments that influence liquidity risk measurements and stress-testing outcomes.
The course also explores liquidity stress-testing frameworks, including institution-specific and market-wide scenarios, historical and hypothetical shocks, reverse stress testing, combined liquidity and market stress, funding withdrawals, collateral pressures, and asset-sale constraints. Participants will examine whether scenarios are sufficiently severe, relevant, forward-looking, independently challenged, and effectively connected to management actions and contingency planning.
Modern liquidity risk management increasingly relies on automated cash flow engines, liquidity dashboards, real-time payment systems, collateral platforms, data warehouses, predictive analytics, and integrated risk technology. The course therefore incorporates technology controls, data governance, model risk, cybersecurity, system resilience, automated monitoring, and continuous assurance considerations relevant to liquidity risk auditing.
Through practical audit scenarios and an integrated case study, participants will learn to test liquidity data, evaluate cash flow forecasts, assess funding concentrations, review stress scenarios, investigate limit breaches, challenge management assumptions, and develop evidence-based audit findings. The course strengthens professional skepticism and provides a structured methodology for auditing liquidity risk controls and stress-testing frameworks.
Duration
10 days
Who Should Attend
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Internal auditors responsible for liquidity, treasury, banking, or financial risk audits.
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External auditors involved in liquidity risk, stress testing, and financial institution assurance.
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Liquidity risk professionals responsible for monitoring and managing liquidity exposures.
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Treasury professionals responsible for cash management, funding, and liquidity buffers.
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Asset-liability management professionals involved in balance sheet liquidity management.
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Banking risk managers responsible for liquidity risk appetite, limits, and stress testing.
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Finance professionals involved in liquidity forecasting and financial risk reporting.
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Compliance professionals monitoring liquidity governance and regulatory requirements.
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Financial controllers responsible for cash, funding, and liquidity-related financial information.
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Audit managers and supervisors planning and reviewing liquidity risk assurance engagements.
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Risk model professionals supporting liquidity forecasting and stress-testing methodologies.
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Treasury operations professionals responsible for cash movements, settlements, and reconciliations.
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Technology and data professionals supporting liquidity systems and risk analytics.
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Banking executives and risk committee professionals seeking stronger liquidity assurance knowledge.
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Professionals seeking advanced practical skills in auditing liquidity controls and stress-testing frameworks.
Course Objectives
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Develop a comprehensive understanding of liquidity risk and its relationship with cash flows, funding, balance sheet structure, market conditions, and financial resilience.
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Evaluate liquidity risk governance, risk appetite, policies, delegated authorities, management responsibilities, committees, and independent oversight arrangements.
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Apply risk-based audit methodologies to assess contractual cash flows, behavioral assumptions, maturity mismatches, funding concentrations, and liquidity exposures.
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Evaluate liquidity risk measurement methodologies, including cash flow forecasting, liquidity gaps, survival horizons, stress indicators, and other risk metrics.
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Assess the quality, completeness, accuracy, and timeliness of data used in liquidity measurement, forecasting, monitoring, reporting, and stress testing.
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Examine liquidity stress-testing frameworks, including scenario design, assumptions, severity, duration, management actions, and connections with contingency funding plans.
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Evaluate liquidity buffers, high-quality liquid assets, collateral availability, asset encumbrance, monetization capacity, and controls over liquid asset portfolios.
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Audit funding structures, concentration limits, deposit stability, wholesale funding, maturity profiles, refinancing risks, and access to alternative sources of liquidity.
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Assess controls over intraday liquidity, payment obligations, settlement activities, correspondent relationships, and real-time cash flow management.
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Evaluate liquidity models, behavioral assumptions, scenario methodologies, validation, change management, model limitations, and independent challenge.
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Use data analytics and technology-enabled audit procedures to identify unusual cash flows, funding concentrations, limit breaches, stress-testing anomalies, and liquidity control exceptions.
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Develop integrated audit findings and recommendations addressing liquidity weaknesses, root causes, financial impacts, governance deficiencies, stress resilience, and sustainable remediation.
Comprehensive Course Outline
Module 1: Foundations of Liquidity Risk Controls and Stress Testing Auditing
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Examine the nature of liquidity risk and its relationship with funding, cash flows, balance sheet structure, market conditions, and financial resilience.
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Understand the liquidity risk lifecycle from identification and measurement through monitoring, stress testing, contingency planning, and management response.
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Identify major audit risks associated with liquidity mismatches, funding concentrations, cash flow assumptions, liquid assets, and stress-testing weaknesses.
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Develop a risk-based audit framework covering governance, data, models, controls, liquidity buffers, stress testing, reporting, and assurance evidence.
Module 2: Liquidity Risk Governance, Strategy and Risk Appetite
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Evaluate board and management oversight, liquidity risk committees, treasury responsibilities, policies, risk appetite, and accountability structures.
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Assess the alignment between liquidity risk appetite, business strategy, funding plans, balance sheet objectives, and contingency arrangements.
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Examine delegated authorities, segregation of duties, escalation processes, management information, and independent liquidity risk oversight.
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Identify governance weaknesses that may result in excessive liquidity risk, delayed escalation, ineffective challenge, or inadequate management action.
Module 3: Liquidity Risk Identification and Cash Flow Mapping
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Examine contractual and behavioral cash flows across assets, liabilities, off-balance-sheet commitments, contingent obligations, and investment portfolios.
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Evaluate maturity ladders, cash flow buckets, liquidity gaps, survival horizons, and other methods used to identify liquidity exposures.
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Assess controls over cash flow data completeness, instrument classification, contractual terms, behavioral assumptions, and aggregation.
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Identify hidden liquidity risks arising from omitted obligations, incorrect maturities, duplicated cash flows, or inappropriate behavioral treatment.
Module 4: Liquidity Measurement, Limits and Monitoring
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Evaluate methodologies used to measure liquidity positions, liquidity gaps, funding needs, survival periods, and other risk indicators.
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Audit liquidity limits, early warning indicators, tolerance levels, escalation thresholds, and monitoring procedures across relevant business units.
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Examine automated and manual processes for limit utilization, breach identification, temporary excesses, overrides, and management approval.
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Assess whether liquidity reports provide accurate, timely, complete, and decision-useful information to management and risk committees.
Module 5: Liquidity Forecasting and Behavioral Assumptions
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Examine cash flow forecasting methodologies used to project inflows, outflows, funding requirements, and liquidity positions under expected conditions.
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Evaluate behavioral assumptions for deposits, withdrawals, loan drawdowns, prepayments, credit commitments, collateral calls, and other customer activities.
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Assess forecast accuracy by comparing projected cash flows with historical actual outcomes and investigating significant variances.
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Identify risks arising from optimistic assumptions, insufficient segmentation, outdated behavioral patterns, management overlays, or inadequate model validation.
Module 6: Funding Risk and Liquidity Concentration Controls
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Audit funding structures across customer deposits, wholesale markets, interbank funding, debt issuance, secured financing, and other sources.
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Evaluate funding concentration by counterparty, instrument, maturity, currency, market, geography, and source of funds.
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Examine controls over refinancing requirements, maturity concentrations, funding diversification, and dependence on potentially unstable funding.
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Identify vulnerabilities created by concentrated funding, short-term dependence, limited market access, or inadequate alternative funding arrangements.
Module 7: Liquidity Buffers, Liquid Assets and Collateral
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Evaluate liquidity buffer policies, eligible liquid assets, portfolio composition, valuation, haircuts, and monetization capacity.
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Examine controls over asset availability, encumbrance, custody, collateral eligibility, and the operational ability to mobilize liquid assets.
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Assess whether liquidity buffers are appropriately sized and positioned relative to risk appetite, stress assumptions, and funding requirements.
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Identify risks arising from overvalued assets, inaccessible collateral, excessive encumbrance, market illiquidity, or unrealistic monetization assumptions.
Module 8: Intraday Liquidity, Payments and Settlement Risk
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Examine intraday liquidity exposures arising from payment obligations, clearing activities, securities settlement, correspondent banking, and real-time transactions.
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Evaluate controls over payment prioritization, liquidity monitoring, settlement queues, nostro balances, and critical payment obligations.
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Assess systems and procedures for identifying intraday liquidity shortfalls and escalating potential payment disruptions.
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Identify operational and liquidity risks arising from settlement failures, payment spikes, system outages, counterparty delays, and inaccurate cash information.
Module 9: Liquidity Stress Testing Frameworks and Scenario Design
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Examine liquidity stress-testing methodologies covering institution-specific, market-wide, combined, historical, and hypothetical scenarios.
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Evaluate scenario severity, duration, assumptions, funding outflows, asset haircuts, collateral calls, market access restrictions, and behavioral changes.
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Assess whether stress scenarios capture interconnected risks, second-order effects, reputational pressures, and management constraints.
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Identify weaknesses in scenario governance, independence, documentation, validation, management challenge, and periodic review.
Module 10: Stress Testing Results, Management Actions and Contingency Funding
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Evaluate how stress-testing results are interpreted, reported, escalated, and incorporated into liquidity management decisions.
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Examine contingency funding plans, emergency funding sources, liquidity escalation triggers, management actions, and decision-making authorities.
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Assess the feasibility, timing, capacity, and operational dependencies of proposed management actions under stressed conditions.
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Identify risks where contingency actions are unrealistic, insufficiently tested, dependent on unavailable markets, or poorly integrated with stress scenarios.
Module 11: Liquidity Models, Data Governance and Model Risk
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Evaluate liquidity forecasting, behavioral, cash flow, stress-testing, and scenario models used to measure liquidity exposures.
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Assess model inputs, data quality, assumptions, methodology, validation, performance monitoring, change management, and independent review.
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Examine controls over model documentation, ownership, limitations, overrides, model inventory, and model risk reporting.
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Identify risks arising from inaccurate data, inappropriate assumptions, implementation errors, outdated models, and inadequate validation.
Module 12: Treasury, ALM and Liquidity Control Integration
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Examine the interaction between treasury, asset-liability management, liquidity risk, funding, investments, and broader balance sheet management.
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Evaluate controls over cash positioning, funding decisions, investment portfolios, hedging, liquidity buffers, and liquidity risk mitigation.
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Assess whether liquidity risk information is consistently communicated between treasury, ALM, risk management, finance, and senior management.
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Identify cross-functional control gaps that may result in inconsistent risk measurements, delayed information, or ineffective liquidity responses.
Module 13: Technology, Data and Automated Liquidity Controls
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Evaluate liquidity management systems, cash flow engines, risk platforms, payment systems, data warehouses, dashboards, and automated monitoring tools.
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Assess access controls, system configurations, interface controls, data lineage, automated calculations, exception reporting, and change management.
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Examine the integration of core banking, treasury, payments, collateral, accounting, and risk systems supporting liquidity information.
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Evaluate technology risks involving cloud platforms, APIs, artificial intelligence, cybersecurity, system outages, third-party dependencies, and data integrity.
Module 14: Liquidity Analytics and Continuous Assurance
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Apply data analytics to identify unusual cash flows, funding concentrations, maturity mismatches, liquidity movements, limit breaches, and stress-testing anomalies.
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Compare liquidity risk measures with underlying transaction populations, historical cash flows, balance sheet records, funding information, and market indicators.
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Develop continuous monitoring using liquidity dashboards, automated alerts, key risk indicators, exception reporting, and trend analysis.
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Evaluate how analytics can improve audit coverage, forecasting review, stress-test validation, exception investigation, and early identification of liquidity weaknesses.
Module 15: Emerging Liquidity Risks and Advanced Stress Testing
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Examine emerging liquidity risks from digital banking, instant payments, mobile platforms, concentrated deposits, new funding models, and technology-driven customer behavior.
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Evaluate liquidity implications of market volatility, geopolitical disruption, reputational events, cyber incidents, operational outages, and rapid changes in customer behavior.
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Assess reverse stress testing, combined risk scenarios, contagion effects, third-party dependencies, and interconnected financial market exposures.
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Develop advanced audit responses incorporating predictive analytics, dynamic scenarios, continuous assurance, resilience testing, and enhanced management challenge.
Module 16: Integrated Liquidity Risk Controls and Stress Testing Audit Case Study
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Conduct an end-to-end audit of a liquidity risk framework covering governance, cash flows, funding, buffers, limits, stress testing, contingency planning, and reporting.
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Analyze liquidity data, maturity profiles, funding concentrations, stress scenarios, model outputs, limit reports, contingency plans, and management explanations.
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Develop integrated audit findings connecting liquidity control weaknesses to root causes, exposure impacts, stress resilience, and governance deficiencies.
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Prepare a comprehensive liquidity risk assurance report and management presentation demonstrating professional skepticism, evidence evaluation, prioritization, and practical remediation.
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.
