In the digital era, financial regulators and supervisors face an overwhelming volume of data, increasing compliance demands, and rapidly evolving market risks. This landscape necessitates a paradigm shift from traditional, manual oversight to a more agile, data-driven approach. The RegTech & SupTech: The Future of Central Banking Training Course is specifically designed to bridge this gap, equipping central bank professionals with the knowledge and practical skills to harness regulatory technology (RegTech) and supervisory technology (SupTech). By adopting these innovations, institutions can enhance efficiency, improve risk management, and strengthen their ability to ensure financial stability in a complex, interconnected world.

This comprehensive curriculum will guide participants through the foundational principles and advanced applications of RegTech and SupTech, from automating compliance processes to leveraging artificial intelligence for real-time market surveillance. You will learn how to design and implement these technologies, evaluate their impact on organizational culture, and manage the associated data and cybersecurity risks. This course is an essential resource for those committed to modernizing their regulatory functions and leading their institutions toward a more resilient, technologically advanced future.

Duration: 5 Days

Target Audience

• Regulatory and supervisory staff at central banks and financial authorities.
• Compliance and risk management officers from financial institutions.
• IT and data specialists involved in regulatory technology implementation.
• Senior managers and policymakers overseeing digital transformation.
• Legal professionals and internal auditors.
• Financial market infrastructure staff.
• Economists and analysts focused on data-driven policy.
• Cybersecurity and data privacy officers.
• Fintech entrepreneurs and innovators.
• Public sector officials in charge of financial sector reform.

Objectives

• Differentiate between RegTech and SupTech and understand their strategic roles in a central bank.
• Analyze the foundational technologies, including big data analytics and cloud computing, that enable RegTech and SupTech.
• Design a roadmap for implementing new regulatory technologies to improve efficiency and reduce compliance burdens.
• Evaluate the ethical considerations and governance frameworks for using AI in financial supervision.
• Develop a strategy for leveraging SupTech to conduct real-time market surveillance and predictive analytics.
• Assess the cybersecurity and data privacy risks associated with new technology implementation.
• Explore international case studies and best practices for successful RegTech and SupTech adoption.
• Learn to build a collaborative ecosystem between regulators, regulated entities, and technology providers.
• Formulate a strategic plan for integrating RegTech and SupTech into an institution’s long-term digital strategy.

Course Modules Module 1: Foundations of RegTech and SupTech

• Definitions and distinctions: What is RegTech, and what is SupTech?
• The historical context: From manual compliance to automated solutions
• Key drivers for adoption: Efficiency, data volume, and risk complexity
• The technological building blocks: Cloud, APIs, and open data
• The role of RegTech and SupTech in enhancing financial stability

Module 2: Data Management and Analytics for Regulation

• Data governance principles for regulatory and supervisory use cases
• The importance of data standardization and quality for effective analytics
• Leveraging big data to identify emerging risks and trends
• Data visualization and reporting for senior management and policymakers
• Practical tools for data ingestion, processing, and analysis

Module 3: Artificial Intelligence and Machine Learning Applications

• An introduction to AI/ML models for regulatory compliance
• Using AI for real-time transaction monitoring and fraud detection
• Machine learning for predictive analytics and risk forecasting
• Ethical AI, algorithmic bias, and the challenge of explainability
• Case studies on AI-driven financial crime prevention and surveillance

Module 4: SupTech in Practice

• Building a modern supervisory platform for data collection and analysis
• Leveraging SupTech for off-site supervision and continuous monitoring
• Using network analysis to map interconnections and identify systemic risk
• Automated stress testing and scenario analysis
• The benefits and challenges of transitioning to a SupTech-enabled supervision model

Module 5: RegTech in Practice

• Automating regulatory reporting and compliance checks
• Digital identity and Know Your Customer (KYC) automation
• The role of RegTech in anti-money laundering (AML) and counter-terrorist financing (CFT)
• Monitoring market conduct and consumer protection through technology
• Best practices for selecting and implementing RegTech solutions

Module 6: Implementation Strategy and Change Management

• Developing a strategic roadmap for RegTech and SupTech adoption
• Overcoming organizational barriers and fostering a culture of innovation
• The role of public-private partnerships in technology implementation
• Managing vendor relationships and procurement for regulatory technology
• Measuring the return on investment (ROI) and impact of technology initiatives

Module 7: Cybersecurity, Data Privacy, and Operational Resilience

• Cybersecurity threats to RegTech and SupTech systems
• Ensuring data privacy and compliance with regulations like GDPR
• Developing a robust framework for digital operational resilience
• The supervisor's role in assessing cybersecurity at regulated firms
• Building a resilient technology stack for mission-critical functions

Module 8: The Global Regulatory Landscape and International Standards

• The role of international bodies (like the BIS) in setting standards for RegTech/SupTech
• Learning from international case studies of successful implementation
• Cross-border data sharing and regulatory harmonization
• The impact of emerging frameworks and digital regulations
• Collaborative initiatives and knowledge sharing across jurisdictions

Module 9: The Future Outlook: Emerging Trends

• The use of distributed ledger technology (DLT) for regulatory reporting
• The potential of quantum computing to impact cryptography and data security
• SupTech for supervising emerging areas like DeFi and the metaverse
• The integration of environmental, social, and governance (ESG) data into supervision
• The role of regulators in shaping the future of financial innovation

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: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

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

Certification

Participants will be issued with Skills for Africa Training Institute 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: info@skillsforafrica.org, training@skillsforafrica.org Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.