Regulatory Reporting for Risk (XBRL and Formats) Training Course

Regulatory Reporting for Risk (XBRL and Formats) Training Course

Introduction

The global financial landscape is undergoing a profound digital transformation, driven by increasing regulatory scrutiny and the demand for greater transparency and data comparability. Financial institutions are challenged to move beyond manual, fragmented reporting to embrace standardized, machine-readable formats for their risk disclosures. This shift is critical for effective risk supervision, accurate capital adequacy assessment, and meeting demanding deadlines under frameworks like Basel IV and the burgeoning ESG Reporting mandates. The adoption of eXtensible Business Reporting Language (XBRL) and its variants, such as Inline XBRL (iXBRL), has become a core competency, transitioning regulatory compliance from a mere burden to a strategic function powered by RegTech solutions.

Regulatory Reporting for Risk (XBRL and Formats) Training Course provides the comprehensive knowledge and practical skills necessary to navigate the complex world of Regulatory Reporting for Risk. Participants will master the technical specifics of XBRL Taxonomies and the Data Point Model (DPM), learning how to structure granular risk data related to Credit Risk, Liquidity Risk, and Operational Risk. The curriculum places a strong emphasis on achieving data quality and implementing robust data governance to ensure the accuracy and integrity of regulatory submissions. By focusing on practical application through real-world case studies from major jurisdictions, this training will equip professionals to streamline their reporting processes, mitigate non-compliance risk, and leverage their reporting function to drive internal risk intelligence.

Course Duration

5 days

Course Objectives

1. Master the principles of XBRL and iXBRL for modern digital reporting standards.
2. Analyze the latest regulatory requirements, specifically focusing on Basel IV implementation for risk-weighted assets (RWA) calculation.
3. Translate complex regulatory instructions into the Data Point Model (DPM) and its corresponding XBRL Taxonomy.
4. Implement robust Data Quality frameworks and validation rules to ensure high-fidelity reporting.
5. Differentiate between major international risk reporting formats, including EBA's COREP/FINREP and US-GAAP/IFRS Taxonomy usage.
6. Assess the impact of emerging ESG (Environmental, Social, and Governance) disclosure requirements on financial risk reporting.
7. Conduct effective data mapping from internal systems to regulatory templates, minimizing data asymmetry.
8. Evaluate the role of RegTech and automation tools in streamlining the regulatory submission process.
9. Develop internal controls to manage the lifecycle of XBRL extensions and custom tagging.
10. Apply the regulatory requirements for Liquidity Risk (LCR/NSFR) and Interest Rate Risk in the Banking Book (IRRBB) reporting.
11. Interpret the foundational rules of the European Single Electronic Format (ESEF) mandate and its interaction with risk data.
12. Mitigate Operational and Cyber Risk by understanding resilience reporting mandates
13. Utilize reported data for internal Stress Testing and Scenario Analysis to enhance strategic risk management.

Target Audience

1. Regulatory Reporting Specialists/Managers
2. Risk Analysts
3. Compliance Officers and Internal Auditors
4. Finance and Accounting Professionals involved in financial statement preparation
5. Data Governance and Data Quality Teams
6. IT/FinTech Professionals responsible for regulatory system implementation
7. Chief Financial Officers (CFOs) and Chief Risk Officers (CROs)
8. External Consultants specializing in Financial Services Regulation

Course Modules

Module 1: Foundational Concepts: XBRL, iXBRL, and DPM

• Understanding the structure, syntax, and benefits of the eXtensible Business Reporting Language for machine-readability.
• Differentiating iXBRL from traditional XBRL and its 
• Deconstructing the regulatory metadata structure and its role in data harmonisation.
• Navigating regulatory taxonomies and managing the version control and update process.
• Case Study: SEC/ESEF Filings Analysis.

Module 2: Regulatory Risk Frameworks and Reporting Scope

• Basel Frameworks (III/IV).
• COREP and FINREP
• Liquidity and Interest Rate Risk
• Operational Resilience.
• Case Study: EBA COREP Implementation.

Module 3: Data Governance and Quality for Regulatory Risk

• Data Quality Principles.
• Data Governance Framework
• Validation Rules.
• Source Systems and Data Flow.
• Case Study: FFIEC/FDIC Call Report Data Quality.

Module 4: The XBRL Reporting Workflow

• Mapping Process.
• Instance Document Creation.
• Extension Taxonomy Development.
• Review and Sign-off.
• Case Study: Extension Management Challenge.

Module 5: Credit Risk Reporting in XBRL

• Credit Risk Calculation.
• NPE (Non-Performing Exposure) Reporting.
• IFRS 9 and CECL Integration.
• Collateral and Guarantee Reporting.
• Case Study: IFRS 9 Disclosure in ESEF.

Module 6: Technology and RegTech Solutions

• In-house and Outsourced Solutions.
• Automation.
• Cloud-Based Reporting.
• Advanced Analytics.
• Case Study: RegTech Tool Selection.

Module 7: Global Standards and Convergence (IFRS and ESG)

• IFRS Taxonomy.
• Cross-Border Reporting.
• ESG Reporting Mandates.
• Sustainability Taxonomies.
• Case Study: Climate-Related Risk Disclosure.

Module 8: Audit, Assurance, and Future Trends

• Internal and External Audit.
• Regulator Analysis.
• Future of Reporting.
• Change Management.
• Case Study: Regulator Feedback and Correction.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

• Interactive lectures and presentations.
• Group discussions and brainstorming sessions.
• Hands-on exercises using real-world datasets.
• Role-playing and scenario-based simulations.
• Analysis of case studies to bridge theory and practice.
• Peer-to-peer learning and networking.
• Expert-led Q&A sessions.
• Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.