Trade-Based Money Laundering (TBML) in Asia: Trends and Detection Strategies
A Report by CYS Global Remit Legal & Compliance Office
Part 5: Building a Sustainable TBML Compliance Program
Introduction
Sustainability in TBML compliance doesn't mean simply having controls in place—it means having controls that remain effective as trade patterns shift, regulatory expectations evolve, and business models change. Achieving this requires governance discipline, smart technology adoption, and a genuine commitment to continuous improvement, all anchored by a risk-based approach.
Program Architecture
Governance & Accountability
Strong governance starts at the top. The board should include TBML within the organisation's enterprise risk appetite, with progress tracked through Key Performance Indicators and Key Risk Indicators (KPIs/KRIs). Beneath this, a clear RACI matrix—setting out who is Responsible, Accountable, Consulted, and Informed—should span compliance, product, data, and operations, so that ownership is never in doubt. Underpinning it all, a dedicated TBML policy and set of standards should define the risk taxonomy, thresholds, and escalation procedures.
Risk Assessment & Scenario Design
An effective programme rests on a thorough enterprise TBML risk assessment, viewed through the lenses of corridor, product, customer, and delivery channel. This should be supported by a documented scenario library, capturing known typologies alongside their detection logic, data requirements, and evidentiary standards. Materiality thresholds then need to be calibrated to reflect both business exposure and regulatory expectations.
Technology & Data Strategy
A capable RegTech stack—covering case management, graph analytics, model lifecycle management, and secure data pipelines—forms the technical backbone of any modern programme. This should be complemented by structured data partnerships covering pricing, logistics, and corporate registry information, each governed by clear SLAs and audit clauses. Interoperability matters too: APIs and common standards allow signals to be integrated across systems rather than sitting in isolated silos.
People & Capability Building
Technology alone cannot detect TBML; people remain central. Targeted training should cover TBML typologies, document literacy, sanctions and export controls, and data interpretation. Analysts benefit from a practical toolkit—playbooks, Standard Operating Procedures (SOPs), decision trees, and knowledge bases—designed to reduce variance across investigations. Ongoing professional development, including certifications and periodic refresher programmes focused on trade risk, helps keep expertise current.
Assurance, Testing, and Continuous Improvement
No programme should be static. Independent validation—regular testing of scenarios and models, alongside a genuine challenge function for thresholds—helps catch blind spots before they become vulnerabilities. Metrics and reporting should track volumes, hit rates, conversion to STRs, time-to-resolution, and remediation outcomes. Where market or regulatory conditions shift, structured change management processes should ensure controls are updated accordingly, rather than left to drift out of date.
External Collaboration (Public–Private)
Finally, no institution can tackle TBML alone. Participating in industry information-sharing exchanges improves collective awareness of emerging typologies, while proactive regulatory engagement—on new controls, model governance, and outsourcing arrangements—helps ensure the programme stays aligned with supervisory expectations.
Conclusion
A sustainable TBML compliance programme is deliberate, data-informed, and continually validated. By aligning governance, risk assessment, technology, and talent, cross-border payment institutions can maintain robust defences while still enabling business growth.
