Advanced Anti-money Laundering

Designing Effective EFMS Frameworks

• Define target operating models covering detection, prevention, and response.
• Integrate EFMS with case management, KYC, and transaction monitoring.
• Set tuning, feedback, and model-performance governance processes.
• Align programme KPIs with fraud loss reduction and customer impact.

Advanced Fraud Detection and Analytics

• Use rules, machine learning, and network analytics for high-risk patterns.
• Balance hit-rate and false-positive trade-offs through iterative testing.
• Combine internal and external data sources for stronger detection.
• Operationalise alerts with triage, prioritisation, and feedback loops.

Understanding Regulatory Frameworks and Global Standards

• Map applicable domestic and international regulations to business activities.
• Interpret supervisory expectations, guidance, and emerging regulatory trends.
• Align policies, procedures, and controls with mandatory standards and codes.
• Prepare evidence and documentation to demonstrate regulatory compliance.

Implementing Risk-Based Compliance Strategies

• Build compliance risk registers with clear ownership and thresholds.
• Prioritise controls using impact–likelihood scoring and risk appetite.
• Integrate monitoring, testing, and assurance into BAU processes.
• Use metrics and KRIs to report risk posture to senior leadership.

Conducting Investigations and Ensuring Audit Readiness

• Design investigation protocols covering evidence, interviews, and escalation.
• Maintain defensible records to withstand internal and external audits.
• Coordinate with legal, audit, and HR for complex or sensitive cases.
• Close investigations with root-cause analysis and action plans.

Cybercrime Threat Landscape in Banking

• Profile prevalent fraud schemes and attack vectors across channels.
• Track evolving TTPs used by cybercriminals and organised groups.
• Assess vulnerabilities across people, process, and technology layers.
• Use threat intelligence to anticipate and prioritise defences.

Digital Fraud Prevention Strategies

• Layer controls for authentication, authorisation, and transaction integrity.
• Deploy behavioural analytics, device fingerprinting, and velocity checks.
• Balance friction, customer experience, and fraud loss outcomes.
• Measure control effectiveness and recalibrate tuning regularly.

Cybersecurity Controls and Defences

• Implement endpoint, network, and application security controls.
• Strengthen identity, access management, and privileged accounts.
• Harden APIs, encryption, and key management for financial data.
• Embed secure-by-design practices across the change lifecycle.

Incident Response and Recovery

• Establish playbooks for detection, containment, and eradication.
• Coordinate crisis communications and stakeholder notifications.
• Perform root-cause analysis and lessons-learned reviews.
• Restore services safely with validated recovery procedures.

Customer Awareness and Behavioural Controls

• Design campaigns to reduce social engineering and payment scams.
• Use nudge techniques and warnings to change risky behaviours.
• Partner with industry and law enforcement on public education.
• Measure awareness impact and adapt content to threat trends.