Banking Regulatory Reporting Audit Training Course

Course Introduction

Banking regulatory reporting is a critical component of financial institution governance because regulators rely on submitted information to assess capital adequacy, liquidity, asset quality, credit risk, financial soundness, prudential compliance, and systemic risk. The Banking Regulatory Reporting Audit Training Course provides participants with a structured approach to auditing the processes, controls, data, systems, calculations, governance, and evidence supporting regulatory returns.

The course explores the complete regulatory reporting lifecycle, from identifying applicable reporting requirements and interpreting regulatory definitions through data extraction, transformation, validation, calculation, review, approval, submission, reconciliation, and post-submission correction. Participants will learn how auditors can determine whether regulatory returns are complete, accurate, timely, consistent, appropriately supported, and aligned with underlying accounting and risk-management records.

A major focus is placed on the relationship between regulatory reporting and core banking information. Regulatory returns frequently draw information from general ledgers, loan systems, treasury platforms, customer databases, risk systems, capital calculations, liquidity systems, and other specialized applications. Participants will develop practical techniques for tracing reported figures back to source systems and assessing data lineage, reconciliations, interfaces, mapping rules, transformation processes, and controls over manual adjustments.

The programme also addresses prudential reporting areas such as capital adequacy, risk-weighted assets, liquidity, large exposures, credit quality, provisioning, related-party exposures, market risk, operational risk, foreign exchange positions, and other supervisory information. Participants will learn how to audit regulatory calculations, assess classification judgments, identify reporting inconsistencies, investigate unusual movements, and determine whether management controls adequately prevent material reporting errors.

Modern regulatory reporting increasingly involves automated data pipelines, regulatory technology, standardized data structures, machine-readable submissions, analytics, automated validation, and increasingly demanding data-quality expectations. The course therefore incorporates technology and emerging issues, including regulatory reporting automation, data governance, artificial intelligence, reporting taxonomies, model risk, cyber risks, cloud infrastructure, and continuous regulatory reporting assurance.

Through practical exercises, regulatory return testing, data reconciliation scenarios, control assessments, analytical procedures, exception investigations, and an integrated audit case study, participants will strengthen their ability to evaluate regulatory reporting controls. The programme equips auditors and banking professionals to identify root causes of reporting deficiencies, assess regulatory and financial implications, improve assurance evidence, and provide actionable recommendations for sustainable reporting accuracy and compliance.

Duration

10 days

Who Should Attend

• Internal auditors responsible for banking regulatory reporting and prudential compliance audits

• External auditors auditing banks and other regulated financial institutions

• Regulatory reporting managers and specialists responsible for prudential returns

• Finance professionals responsible for regulatory accounting and reporting

• Risk managers involved in capital, liquidity, credit, or prudential reporting

• Compliance professionals responsible for regulatory obligations and submissions

• Banking supervisors and regulatory examination professionals

• Financial controllers and management reporting professionals

• Data governance and regulatory reporting data specialists

• IT auditors and technology assurance professionals supporting banking systems

• Treasury professionals involved in liquidity and market-risk reporting

• Credit risk professionals responsible for regulatory credit-risk information

• Capital management and Basel reporting specialists

• Governance, risk, and compliance professionals

• Audit managers and engagement leaders covering financial institutions

Course Objectives

• Develop a comprehensive understanding of banking regulatory reporting frameworks, reporting lifecycles, prudential requirements, data sources, controls, governance structures, and audit responsibilities.

• Apply risk-based audit methodologies to regulatory reporting processes, identifying high-risk returns, material data elements, critical calculations, judgmental areas, and reporting dependencies.

• Evaluate whether regulatory reporting data is complete, accurate, consistent, timely, traceable, appropriately classified, and supported by reliable underlying accounting and operational records.

• Audit regulatory reporting reconciliations between general ledger balances, subsidiary systems, risk databases, prudential calculations, management reports, and submitted regulatory returns.

• Assess controls over capital adequacy reporting, including regulatory capital components, deductions, risk-weighted assets, capital ratios, classifications, adjustments, and supporting evidence.

• Examine liquidity and funding reports, liquidity ratios, cash-flow information, maturity profiles, funding concentrations, and other regulatory measures used to assess banking liquidity risk.

• Evaluate regulatory credit-risk reporting, including loan classifications, non-performing exposures, provisions, collateral, credit concentrations, large exposures, and risk-weighted assets.

• Assess the effectiveness of regulatory reporting governance, including roles and responsibilities, review procedures, approval controls, escalation processes, documentation, and senior management oversight.

• Use data analytics and audit techniques to identify unusual reporting movements, duplicate records, missing data, inconsistent classifications, manual adjustments, reconciliation breaks, and potential reporting anomalies.

• Evaluate technology controls supporting regulatory reporting, including data lineage, system interfaces, automated calculations, reporting applications, access controls, change management, and regulatory reporting automation.

• Identify emerging regulatory reporting risks involving artificial intelligence, regulatory technology, cloud infrastructure, data standardization, cyber threats, real-time reporting, and increasingly complex supervisory information requirements.

• Prepare evidence-based regulatory reporting audit findings that explain root causes, quantify or assess potential impact, identify control weaknesses, and provide practical recommendations for sustainable remediation.

Comprehensive Course Outline

Module 1: Foundations of Banking Regulatory Reporting and Audit

• Regulatory reporting objectives, prudential supervision, financial stability considerations, reporting responsibilities, and the auditor’s role in providing independent assurance.

• Regulatory reporting lifecycles covering requirement interpretation, data collection, calculation, validation, approval, submission, correction, and regulatory communication.

• Key reporting risks involving data quality, classification, calculations, completeness, timeliness, manual intervention, systems, governance, and regulatory interpretation.

• Risk-based regulatory reporting audit planning, including scoping, materiality, population selection, sampling, evidence requirements, and audit testing strategies.

Module 2: Regulatory Reporting Governance, Policies and Accountability

• Governance frameworks for regulatory reporting, including board oversight, senior management accountability, finance ownership, risk functions, compliance, and internal audit.

• Regulatory reporting policies, procedures, reporting calendars, responsibility matrices, submission protocols, escalation requirements, and management approval processes.

• Segregation of duties between data preparation, calculation, review, approval, submission, and post-submission correction activities.

• Audit evaluation of governance effectiveness, accountability, management information, policy compliance, issue escalation, reporting ownership, and remediation oversight.

Module 3: Regulatory Requirements, Definitions and Reporting Taxonomies

• Interpretation of regulatory instructions, reporting templates, definitions, classifications, submission requirements, frequency, thresholds, and applicable reporting populations.

• Regulatory reporting taxonomies, standardized data definitions, reporting dimensions, mapping requirements, and controls over interpretation of technical reporting instructions.

• Management processes for monitoring regulatory changes, assessing reporting impacts, updating procedures, modifying systems, and communicating new requirements.

• Audit procedures for evaluating regulatory interpretation, change implementation, reporting definitions, documented judgments, and consistency of regulatory classifications.

Module 4: Regulatory Reporting Data Governance and Data Quality

• Regulatory reporting data sources, ownership, critical data elements, data dictionaries, master data, data lineage, and governance over information used in prudential returns.

• Data-quality controls covering completeness, accuracy, consistency, validity, timeliness, uniqueness, reconciliation, and identification of missing or anomalous records.

• Data extraction, transformation, aggregation, mapping, enrichment, and validation processes supporting regulatory reporting calculations and submissions.

• Audit techniques for tracing reported information to source data, testing data transformations, evaluating quality controls, and identifying unexplained reporting differences.

Module 5: General Ledger, Subledger and Regulatory Reporting Reconciliations

• Relationships between general ledger balances, subsidiary ledgers, banking systems, risk systems, accounting records, and regulatory reporting data populations.

• Reconciliation controls between financial statements, management information, regulatory returns, prudential calculations, and supporting operational records.

• Investigation and resolution of reconciling items, suspense balances, unexplained differences, manual adjustments, timing differences, and data-interface failures.

• Audit testing of reconciliation completeness, review evidence, exception aging, adjustment authorization, account substantiation, and resolution of outstanding differences.

Module 6: Capital Adequacy and Prudential Capital Reporting

• Regulatory capital structures, eligible capital components, deductions, adjustments, capital instruments, capital buffers, and controls supporting capital adequacy reporting.

• Risk-weighted asset calculations across credit, market, operational, and other applicable risk categories, including classification and risk-weighting controls.

• Capital ratios, regulatory thresholds, capital planning information, management adjustments, and controls over calculation and reporting of prudential capital measures.

• Audit procedures for validating capital calculations, source data, regulatory classifications, deductions, risk weights, manual adjustments, and supporting documentation.

Module 7: Credit Risk and Asset Quality Regulatory Reporting

• Regulatory reporting of loans, advances, credit exposures, asset classifications, non-performing exposures, past-due amounts, restructuring, collateral, and credit risk information.

• Credit-risk classifications, staging, provisioning, impairment information, write-offs, recoveries, and reconciliation between credit systems and regulatory returns.

• Large exposures, connected counterparties, sector concentrations, geographic exposures, and other credit-risk measures commonly included in prudential reporting.

• Audit testing of credit-risk populations, classifications, exposure amounts, collateral information, provisioning data, reporting mappings, and regulatory submission accuracy.

Module 8: Liquidity, Funding and Market Risk Reporting

• Liquidity regulatory returns covering liquid assets, cash flows, funding sources, maturity profiles, liquidity buffers, concentrations, and other supervisory liquidity measures.

• Funding concentration, wholesale funding, deposits, contractual maturities, behavioral assumptions, liquidity gaps, and controls over liquidity reporting data.

• Market-risk reporting involving foreign exchange positions, interest-rate exposures, trading positions, valuation information, and applicable prudential measures.

• Audit procedures for testing liquidity and market-risk data, calculations, classifications, reconciliations, management assumptions, and supporting evidence.

Module 9: Large Exposures, Related Parties and Concentration Reporting

• Large exposure reporting, single-counterparty limits, connected counterparties, group exposures, related parties, guarantees, commitments, and off-balance-sheet exposures.

• Identification and aggregation of economically connected borrowers, common ownership structures, related entities, and exposures that may require regulatory consolidation.

• Controls over exposure limits, limit breaches, management exceptions, regulatory classifications, risk aggregation, and escalation of concentration concerns.

• Audit testing of customer relationships, exposure aggregation, connected-party identification, limit calculations, reporting completeness, and regulatory disclosures.

Module 10: Regulatory Reporting Calculations, Models and Manual Adjustments

• Calculation engines, spreadsheets, reporting models, automated formulas, transformation rules, regulatory ratios, aggregation logic, and controls over prudential calculations.

• Model governance for regulatory reporting, including assumptions, methodologies, validation, performance monitoring, change controls, and documentation of significant judgments.

• Manual adjustments, overrides, management interventions, spreadsheet dependencies, offline calculations, and risks associated with uncontrolled reporting modifications.

• Audit techniques for recalculating regulatory metrics, testing formulas, reviewing model controls, examining overrides, validating assumptions, and evaluating adjustment evidence.

Module 11: Regulatory Reporting Technology, Automation and IT Controls

• Regulatory reporting technology architecture, reporting platforms, data warehouses, interfaces, automated workflows, reporting engines, and system-generated regulatory submissions.

• IT general controls affecting regulatory reporting, including access management, segregation of duties, change management, backups, system availability, and operational monitoring.

• Automated data validation, exception management, workflow approvals, submission controls, audit trails, version management, and electronic evidence preservation.

• Audit procedures for testing system configurations, application controls, interfaces, automated calculations, access rights, change records, and technology dependencies.

Module 12: Regulatory Reporting Fraud, Manipulation and Misstatement Risks

• Regulatory reporting manipulation risks involving inappropriate classifications, omitted exposures, inaccurate capital calculations, delayed recognition, unsupported adjustments, and selective reporting.

• Management override, incentive pressures, reporting bias, spreadsheet manipulation, unauthorized changes, data suppression, and other behaviors that may compromise regulatory reporting integrity.

• Analytical techniques for identifying unusual movements, unexpected ratio changes, inconsistent submissions, unexplained adjustments, and discrepancies between regulatory and financial information.

• Audit investigation procedures for suspected reporting manipulation, including evidence preservation, transaction tracing, root-cause analysis, escalation, impact assessment, and remediation.

Module 13: Regulatory Reporting Review, Submission and Compliance Controls

• Pre-submission validation, management review, maker-checker controls, approval evidence, submission authorization, reporting calendars, and controls over regulatory deadlines.

• Regulatory validation rules, automated rejection messages, submission exceptions, correction processes, resubmissions, and communication with supervisory authorities.

• Post-submission controls covering error identification, regulatory queries, amended returns, issue tracking, management escalation, and root-cause remediation.

• Audit testing of submission controls, approval evidence, timeliness, validation procedures, rejected returns, amended submissions, and regulatory correspondence.

Module 14: Regulatory Reporting Data Analytics and Continuous Assurance

• Data analytics techniques for regulatory reporting populations, including trend analysis, ratio analysis, duplicate detection, outlier identification, reconciliation testing, and cross-return comparisons.

• Continuous monitoring of critical reporting data elements, regulatory ratios, capital movements, liquidity indicators, credit classifications, and significant reporting exceptions.

• Automated audit procedures for identifying unusual changes, inconsistent classifications, unexplained movements, missing records, and potential reporting control failures.

• Development of regulatory reporting dashboards, exception reports, audit analytics, key risk indicators, and continuous assurance mechanisms for ongoing reporting oversight.

Module 15: Emerging Regulatory Reporting Risks and Supervisory Developments

• Regulatory technology, standardized data models, machine-readable reporting, increasingly granular supervisory data requirements, and movement toward more automated reporting environments.

• Artificial intelligence, machine learning, cloud computing, automated data pipelines, advanced analytics, and emerging technology risks affecting regulatory reporting accuracy and governance.

• Cybersecurity, operational resilience, third-party dependencies, data localization, privacy, digital banking growth, and other emerging issues influencing regulatory reporting control environments.

• Audit approaches for assessing preparedness for regulatory change, technology transformation, new reporting requirements, data complexity, and increasingly frequent or near-real-time supervisory reporting.

Module 16: Integrated Banking Regulatory Reporting Audit Case Study

• End-to-end planning of a regulatory reporting audit covering risk assessment, reporting inventory, materiality, critical data elements, control mapping, sampling, and audit evidence.

• Practical testing of capital, credit risk, liquidity, large exposures, asset quality, financial information, regulatory calculations, reconciliations, and reporting submissions.

• Analytical investigation of regulatory reporting anomalies, unexplained movements, manual adjustments, data-quality exceptions, system-interface failures, and inconsistent regulatory returns.

• Preparation and presentation of an integrated regulatory reporting audit report covering findings, root causes, regulatory implications, recommendations, management responses, and remediation follow-up.

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.