Introduction
The programme “Anti-Money Laundering Compliance in Digital Banks” develops professional practice in Risk and Credit. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from anti-money laundering, due diligence, and reporting to risk assessment, controls, and response, with practical work on fraud prevention, warning sign detection, and integrity protection, banking service and operations management, credit analysis and banking risk. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Design due diligence, monitoring, and escalation controls proportionate to the case's risks in an application related to “Anti-Money Laundering Compliance in Digital Banks”.
- Distinguish suspicious indicators and design a professional response that preserves evidence and confidentiality.
- Analyze a banking process and connect service quality to operational risks and controls.
- Prepare a credit analysis and risk scenario showing repayment capacity and controls.
- Prepare a risk register connecting causes, consequences, controls, and treatment responsibilities.
Learning areas
1. Anti-Money Laundering, Due Diligence, and Reporting
- Understand the relationship between money laundering and terrorist financing risks and the customer, product, channel, and country, without applying a single threshold in every environment.
- Define identification data for the customer and beneficial owner and the purpose of the relationship, with verification and updating under applicable local instructions.
- Design monitoring indicators suited to expected transaction patterns, distinguishing alerts requiring examination from events established by evidence.
- Define the process for alert review, escalation, and reporting to the competent authority, maintaining confidentiality and reviewing requirements against tipping off the customer.
- Prepare a training case using fictional data, including rationale, documents, and retention and follow-up procedures, and review control and training effectiveness. The application examines a case related to “Anti-Money Laundering Compliance in Digital Banks”.
2. Fraud Prevention, Warning Sign Detection, and Integrity Protection
- Analyze exposure to fraud and conflicts of interest in the process, and distinguish errors, suspicious indicators, and established facts.
- Identify warning signs in transactions, authorities, and data, and design analytical checks that support verification without making accusations.
- Review segregation of duties, approvals, reconciliations, and system permissions, and assess their effectiveness in prevention and detection.
- Define reporting, escalation, evidence preservation, and confidentiality procedures, and review local legal requirements before taking investigative action.
- Prepare a case study covering indicators, additional data required, and a plan for correcting controls and monitoring the response.
3. Banking Service and Operations Management
- Define the customer journey, banking product, and service delivery points, distinguishing front-office service, processing, and control.
- Analyze relationship opening, verification, documentation, and authority requirements, referring to applicable local regulatory instructions.
- Review the risks of errors, delays, fraud, and service disruption, linking them to preventive and detective controls and clear responsibilities.
- Design an operational improvement balancing service speed, customer data protection, financial control, and compliance.
- Select indicators for time, accuracy, complaints, and continuity, and prepare a scenario for addressing a failure and evaluating the responses of the parties involved.
4. Credit Analysis and Banking Risk
- Analyze the financing purpose, repayment sources, and nature of the business, and review the financial and nonfinancial data needed to assess the customer.
- Assess cash flows, debt servicing capacity, and collateral, distinguishing the primary repayment source from supplementary protections.
- Classify relevant credit, market, liquidity, and operational risks, considering the applicable regulatory framework and internal policies.
- Test the effects of changes in revenues, prices, and maturities on repayment capacity, and define conditions and monitoring requirements addressing the identified risks.
- Prepare a documented recommendation covering limits, assumptions, information gaps, and warning indicators without turning the training case into an actual financing decision.
5. Risk Assessment, Controls, and Response
- Define the work context, objectives, and assessment boundaries, and distinguish the risk source, potential event, and effects on results.
- Gather risks from processes, data, past incidents, and interviews with responsible staff, and document causes and existing controls.
- Estimate likelihood and impact using stated criteria, and review control effectiveness to determine residual risk levels.
- Select a response proportionate to the risks, resources, and authority, and specify the owner, deadline, and early warning indicator.
- Test a scenario involving changing circumstances, update the risk register, and present material risks and required decisions to the appropriate authority.
Practical outputs
- A customer risk matrix, due diligence checklist, and suspicion escalation process.
- A matrix of suspicious indicators and controls, and an evidence preservation and escalation checklist.
- A banking process map, control matrix, and service quality indicators.
- A credit memo, risk register, and early warning indicators.
- A risk register, control matrix, and prioritized treatment plan.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in risk and credit, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Anti-Money Laundering Compliance in Digital Banks” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Anti-Money Laundering Compliance in Digital Banks” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.