Course Introduction
Interest rate risk is a major component of treasury and financial risk management, affecting funding costs, investment income, asset and liability values, margins, liquidity, and financial performance. This course provides an audit-focused framework for evaluating how organizations identify, measure, manage, monitor, hedge, account for, and report interest rate exposures across treasury and financial operations.
The course examines the complete interest rate risk management lifecycle, beginning with risk identification and exposure mapping and continuing through measurement, limit setting, scenario analysis, hedging, monitoring, reporting, and escalation. Participants will develop practical skills for assessing whether interest rate risk controls are appropriately designed, independently monitored, supported by reliable data, and aligned with approved treasury policies and risk appetite.
Particular attention is given to repricing risk, yield curve risk, basis risk, optionality risk, duration, interest rate sensitivity, net interest income exposure, economic value sensitivity, and other measures used to understand changing interest rate conditions. Participants will learn how auditors can challenge assumptions, methodologies, data inputs, models, forecasts, and management judgments that influence reported interest rate exposures.
The course also examines treasury activities that create or manage interest rate risk, including borrowing, lending, investments, deposits, securities, swaps, futures, options, and other financial instruments. Participants will evaluate controls covering transaction authorization, pricing, valuation, confirmations, settlements, hedge relationships, accounting, reconciliations, and financial reporting, with particular emphasis on the interaction between treasury operations and interest rate risk management.
Modern interest rate risk management increasingly depends on automated treasury systems, market data platforms, risk engines, forecasting models, stress-testing tools, and advanced analytics. The course therefore addresses technology controls, data governance, model risk, system interfaces, cybersecurity, automated limit monitoring, artificial intelligence, and continuous assurance approaches relevant to interest rate risk auditing.
Through practical audit scenarios and an integrated treasury case study, participants will learn how to assess interest rate risk frameworks, test controls, analyze risk exposures, investigate anomalies, evaluate hedging strategies, challenge model outputs, and develop evidence-based findings. The course is designed to strengthen professional skepticism and provide a structured approach to auditing interest rate risk and treasury controls in complex financial environments.
Duration
10 days
Who Should Attend
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Internal auditors responsible for treasury, market risk, financial risk, or banking audits.
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External auditors involved in treasury, interest rate risk, and financial instrument assurance engagements.
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Treasury professionals responsible for funding, investments, liquidity, and interest rate risk management.
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Market risk professionals responsible for measuring and monitoring interest rate exposures.
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Risk managers overseeing interest rate risk appetite, limits, models, and stress testing.
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Financial controllers responsible for treasury accounting and financial instrument reporting.
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Asset and liability management professionals involved in interest rate exposure management.
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Banking professionals working in treasury, balance sheet management, or financial risk functions.
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Compliance professionals monitoring treasury policies, risk limits, and regulatory expectations.
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Audit managers and supervisors planning and reviewing interest rate risk audit engagements.
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Finance professionals involved in debt management, investments, financial instruments, and hedging.
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Model risk professionals supporting interest rate risk measurement and forecasting models.
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Technology and data professionals supporting treasury and risk management systems.
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Treasury operations professionals responsible for transactions, settlements, reconciliations, and reporting.
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Professionals seeking advanced practical skills in auditing interest rate risk and treasury control frameworks.
Course Objectives
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Develop a comprehensive understanding of interest rate risk and its relationship with treasury operations, balance sheet management, financial performance, and financial reporting.
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Evaluate interest rate risk governance, policies, risk appetite, delegated authorities, organizational responsibilities, and independent oversight arrangements.
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Apply risk-based audit methodologies to identify repricing, yield curve, basis, optionality, duration, and other interest rate risk exposures.
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Assess interest rate risk measurement methodologies, including sensitivity analysis, duration measures, economic value measures, and income-based risk measures.
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Evaluate data sources, assumptions, models, yield curves, behavioral inputs, and other factors used to calculate interest rate risk exposures.
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Examine controls over borrowing, lending, investments, deposits, securities, derivatives, and other treasury activities that create or mitigate interest rate risk.
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Audit interest rate risk limits, monitoring processes, breaches, overrides, escalation, management reporting, and alignment with approved risk appetite.
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Evaluate interest rate hedging strategies, derivative controls, hedge documentation, effectiveness assessment, valuation, accounting, and financial reporting.
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Assess stress testing and scenario analysis for adverse interest rate movements, yield curve changes, basis shocks, and behavioral changes.
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Identify risks arising from inaccurate data, model limitations, inappropriate assumptions, valuation errors, system weaknesses, and inadequate independent challenge.
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Use data analytics and technology-enabled audit techniques to identify unusual exposures, limit breaches, valuation anomalies, model inconsistencies, and treasury control exceptions.
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Develop integrated audit findings and recommendations addressing root causes, financial impacts, risk exposure, governance weaknesses, and sustainable remediation.
Comprehensive Course Outline
Module 1: Foundations of Interest Rate Risk and Treasury Auditing
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Examine the nature of interest rate risk and its relationship with treasury activities, balance sheet positions, funding, investments, and financial performance.
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Understand the major sources of interest rate exposure, including repricing, yield curve, basis, optionality, and embedded interest rate risks.
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Identify key audit assertions, risk indicators, control objectives, and evidence requirements relevant to interest rate risk management.
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Develop a risk-based audit framework covering governance, measurement, limits, hedging, technology, reporting, and treasury operations.
Module 2: Interest Rate Risk Governance and Treasury Risk Appetite
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Evaluate board and management oversight, treasury policies, risk appetite statements, committees, delegated authorities, and accountability structures.
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Assess the alignment between interest rate risk limits, treasury strategy, funding objectives, investment policies, and organizational risk appetite.
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Examine segregation of duties between treasury dealing, risk measurement, valuation, accounting, operations, and independent assurance.
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Identify governance weaknesses that may result in excessive exposures, ineffective challenge, inappropriate overrides, or delayed escalation.
Module 3: Interest Rate Exposure Identification and Repricing Risk
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Examine how organizations identify interest-sensitive assets, liabilities, off-balance-sheet positions, and contractual or behavioral repricing characteristics.
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Evaluate repricing gap analysis, maturity profiles, rate reset dates, cash flow assumptions, and aggregation methodologies.
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Assess controls over data completeness, instrument classification, contractual terms, and behavioral assumptions used in exposure analysis.
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Identify risks arising from inaccurate repricing information, omitted positions, incorrect assumptions, or inappropriate aggregation of exposures.
Module 4: Interest Rate Risk Measurement and Sensitivity Analysis
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Examine methodologies for measuring interest rate sensitivity using duration, value sensitivity, income sensitivity, and other risk metrics.
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Evaluate calculations of net interest income sensitivity and economic value impacts under changing interest rate conditions.
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Assess assumptions, data inputs, calculation frequency, thresholds, and independent review supporting interest rate risk measurements.
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Identify model and measurement weaknesses that may result in understated, overstated, or poorly understood interest rate exposures.
Module 5: Yield Curve, Basis and Optionality Risk
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Examine yield curve risk arising from non-parallel interest rate movements, curve steepening, flattening, inversion, and changes in key maturities.
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Evaluate basis risk where different instruments or funding sources respond differently to changes in benchmark interest rates.
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Assess optionality risk arising from embedded options, prepayments, early withdrawals, callable instruments, caps, floors, and other contractual features.
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Develop audit procedures for challenging assumptions and identifying exposures that may not be captured by simple repricing analysis.
Module 6: Treasury Funding and Borrowing Controls
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Audit borrowing, debt issuance, refinancing, deposits, interbank funding, and other treasury funding activities that create interest rate exposures.
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Evaluate controls over funding approvals, pricing, maturity, interest reset terms, covenants, documentation, and transaction settlement.
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Examine debt portfolio monitoring and controls over refinancing concentrations, floating-rate exposures, and maturity-related interest rate risks.
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Assess whether funding information is accurately captured in treasury systems, risk reports, accounting records, and financial disclosures.
Module 7: Investment Portfolio and Interest Rate Risk
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Evaluate interest rate exposures arising from government securities, corporate bonds, money market instruments, deposits, and other investment portfolios.
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Examine duration, maturity, yield, coupon, spread, and market value information used to assess investment-related interest rate risk.
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Assess investment limits, portfolio concentration, sensitivity analysis, valuation controls, and independent monitoring processes.
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Identify risks arising from excessive duration, concentration, inaccurate pricing, stale market data, or inappropriate investment classifications.
Module 8: Interest Rate Derivatives and Hedging Controls
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Examine interest rate swaps, futures, options, caps, floors, and other derivatives used to manage or transfer interest rate exposure.
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Evaluate controls over derivative authorization, execution, confirmation, valuation, collateral, settlement, and counterparty exposure.
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Assess hedge designation, documentation, effectiveness testing, accounting treatment, and financial reporting where hedge accounting is applied.
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Identify risks arising from ineffective hedges, mismatched exposures, unauthorized derivatives, valuation errors, and inadequate hedge monitoring.
Module 9: Interest Rate Valuation, Market Data and Model Controls
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Evaluate interest rate curves, benchmark rates, discount factors, forward rates, volatility assumptions, and other market inputs used in valuation.
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Examine pricing models and valuation methodologies for debt instruments, derivatives, and other interest-sensitive financial instruments.
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Assess model governance, validation, parameter management, change controls, independent price verification, and valuation adjustments.
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Identify risks associated with stale market data, inappropriate assumptions, model limitations, manual overrides, and inadequate independent challenge.
Module 10: Interest Rate Risk Limits, Monitoring and Escalation
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Audit controls over interest rate risk limits, sensitivity thresholds, duration limits, position limits, and other treasury risk parameters.
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Evaluate automated and manual monitoring of limit utilization, breaches, temporary excesses, overrides, and management approvals.
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Examine escalation procedures for significant exposures, unexpected movements, model exceptions, and repeated limit breaches.
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Assess whether risk reporting provides management with complete, accurate, timely, and decision-useful information.
Module 11: Stress Testing, Scenario Analysis and Contingency Planning
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Evaluate interest rate stress-testing frameworks covering parallel shocks, curve movements, basis changes, volatility, and extreme market conditions.
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Assess scenario assumptions, historical scenarios, hypothetical shocks, management overlays, and sensitivity ranges used in stress analysis.
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Examine how stress results influence treasury decisions, capital planning, funding strategies, hedging, and risk appetite monitoring.
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Identify weaknesses in scenario governance, model assumptions, data quality, management challenge, documentation, and escalation.
Module 12: Treasury Reconciliation, Accounting and Financial Reporting
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Audit reconciliations between treasury systems, bank records, investment records, derivative confirmations, risk systems, and general ledger accounts.
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Examine accounting for interest income, interest expense, fair value changes, derivative movements, hedge adjustments, and other treasury-related amounts.
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Evaluate controls over manual journals, valuation adjustments, period-end entries, accruals, and financial reporting disclosures.
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Identify risks arising from incomplete postings, incorrect classifications, reconciliation breaks, delayed adjustments, and inconsistent treasury reporting.
Module 13: Technology, Data Governance and Automated Interest Rate Controls
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Evaluate treasury management systems, risk engines, valuation platforms, market data interfaces, and automated interest rate risk calculations.
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Assess access management, user privileges, system configurations, interface controls, automated limit monitoring, and change management.
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Examine data lineage from source transactions and market data through risk calculations, management reporting, accounting, and financial disclosures.
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Evaluate technology risks involving cloud platforms, APIs, automation, artificial intelligence, cybersecurity, system outages, and data integrity.
Module 14: Interest Rate Risk Analytics and Continuous Auditing
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Apply data analytics to identify unusual interest rate exposures, limit breaches, valuation movements, maturity concentrations, and reporting inconsistencies.
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Compare interest rate risk measures with underlying transaction populations, balance sheet positions, market data, and treasury records.
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Develop continuous monitoring approaches using dashboards, automated alerts, exception reports, trend analysis, and key risk indicators.
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Evaluate how analytical procedures can improve audit coverage, risk assessment, sampling, exception investigation, and early detection of control weaknesses.
Module 15: Emerging Interest Rate Risks and Advanced Treasury Assurance
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Examine emerging risks from changing benchmark rates, new financial instruments, digital treasury platforms, artificial intelligence, and automated risk management.
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Evaluate the impact of market volatility, monetary policy changes, liquidity conditions, geopolitical events, and structural balance sheet changes on interest rate risk.
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Assess operational resilience, third-party dependencies, cybersecurity, model risk, and data risks affecting interest rate risk management.
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Develop advanced audit responses incorporating scenario analysis, continuous assurance, predictive analytics, specialized reviews, and enhanced management challenge.
Module 16: Integrated Interest Rate Risk and Treasury Audit Case Study
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Conduct an end-to-end audit of an organization’s interest rate risk framework covering exposures, measurement, limits, funding, investments, hedging, and reporting.
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Analyze treasury transaction populations, repricing schedules, risk reports, valuation data, stress tests, derivative records, reconciliations, and management explanations.
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Develop integrated audit findings connecting identified control weaknesses to root causes, interest rate exposures, financial impacts, and governance implications.
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Prepare a comprehensive audit report and management presentation demonstrating professional skepticism, evidence evaluation, issue 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.
