About This Event
“Supervise the new technology before it quietly rewrites your risk map.”
A three-month virtual programme for supervisors new to fintech and digital-innovation oversight. It covers how AI is reshaping credit, fraud and compliance, how crypto-assets and tokenised instruments create prudential exposures, and how cyber resilience is tested, giving you a practical supervisory lens for each.
What You'll Explore
A fintech risk-assessment toolkit covering AI, crypto-assets and cyber exposures
A checklist for reviewing banks' AI model governance and explainability
A working mapping of crypto exposures to the Basel cryptoasset standard
A framework for assessing cyber resilience and cloud outsourcing arrangements
A completed capstone case on supervising a failing digital lender
Who Should Attend
Open to all qualifying staff, particularly: Fintech & Innovation Supervisors, Banking Supervisors, Payments Oversight Staff, Cyber-Risk Specialists, Regulatory Policy Analysts.
Why This Course Matters
AI Risk, Made Concrete
Machine-learning models now drive credit scoring, fraud detection and AML screening in the banks you supervise. Knowing where they fail lets you ask for documentation that exposes bias, drift and weak governance.
Crypto Exposures in View
Stablecoins, tokenised deposits and crypto custody create exposures that sit awkwardly in traditional returns. Mapping them to the Basel cryptoasset standard tells you what capital and disclosure to demand.
Cyber Resilience Tested
A cyber incident at one bank or cloud provider can halt payments across the system in hours. Learning how resilience is tested means you can judge whether a bank's recovery plan would work on the day.
Programme
Module 1
Fintech landscape & the supervisory perimeter
You will map the fintech business models active in African markets, from mobile money to embedded lending, and decide which activities fall inside your perimeter, which need licensing, and which suit a sandbox.
Module 2
Artificial intelligence & machine learning in finance
You will examine how banks build and deploy AI models for credit, fraud and compliance, and learn the governance, explainability and model-risk questions that reveal whether a model is under proper control.
Module 3
Crypto-assets, stablecoins & prudential treatment
You will classify crypto-asset exposures under the Basel cryptoasset standard, compare stablecoin reserve and redemption models, and assess the conduct and AML risks that arise when banks touch these assets.
Module 4
Tokenisation, DLT & digital-asset infrastructure
You will work through how distributed ledgers and tokenised securities change settlement, custody and legal finality, and what that means for operational risk and the oversight of market infrastructure.
Module 5
Cyber resilience, third-party risk & capstone case
You will assess cyber-resilience and cloud outsourcing arrangements against international principles, then apply the whole programme to a capstone case on a failing digital lender in a fictional jurisdiction.
Standards & Faculty Benchmark
BCBS Cryptoasset Exposures Standard
The Basel standard setting capital and disclosure rules for banks' crypto-asset and stablecoin exposures.
FSB Crypto-Asset & Stablecoin Recommendations
FSB high-level recommendations for regulating crypto-asset activities and global stablecoin arrangements.
NIST Cybersecurity Framework 2.0
A widely used structure for identifying, protecting, detecting, responding to and recovering from cyber risk.
BCBS Principles for Operational Resilience
Basel principles on operational resilience, third-party dependencies and critical-operation mapping.
These are the reference points the FSB, Basel Committee and IMF assessors use to review how a jurisdiction handles fintech, crypto and cyber risk. Working to them now means your supervisory approach is recognisable and defensible when an external review or peer regulator asks.
Is This Right for You?
- ☑You have recently moved into fintech or innovation supervision
- ☑Your institution is licensing digital lenders or crypto providers
- ☑You need a supervisory lens on AI, crypto and cyber in one place
Good to Know
Designed for staff new to fintech supervision; no coding or data-science background is assumed, and the technology is taught for supervisory judgement, not engineering. You leave with a fintech risk-assessment toolkit and a capstone case you can adapt to your own market.
The Bottom Line
Come back able to question a fintech business model, an AI model and a cyber plan with the same confidence you bring to a balance sheet.
Recommended For
Open to all qualifying staff, particularly: Fintech & Innovation Supervisors, Banking Supervisors, Payments Oversight Staff, Cyber-Risk Specialists, Regulatory Policy Analysts.