Jason Lee
Head of Compliance & AI-Driven AML Specialist
Designated MLRO, CAMS, CFCS
Fifteen years as MLRO, now applying machine-learning anomaly detection to AML, sanctions and transaction monitoring.
Jason Lee is a Head of Compliance and Money Laundering Reporting Officer with more than fifteen years of experience across banking, payments, fintech and digital assets. He has acted as MAS liaison under the Payment Services Act, securing and maintaining Major Payment Institution and Digital Payment Token licences with zero major findings across regulatory inspections, and has built enterprise-wide AML/CFT, sanctions, KYC/KYB and transaction monitoring frameworks from the ground up.
He integrates AI and machine learning anomaly detection, risk analytics and blockchain analytics into RegTech platforms, including Chainalysis, Elliptic and ComplyAdvantage, to improve alert quality, cut false positives and automate regulatory reporting. Applying AI/ML-driven models has reduced transaction-monitoring false positives by 30 percent and improved review turnaround by 35 percent in his own delivery, alongside a 40 percent reduction in regulatory breaches through scaled compliance functions and enterprise-wide risk assessments.
He holds certifications spanning Anti-Money Laundering Specialist (CAMS), Financial Crime Specialist (CFCS) and cloud and machine learning credentials from AWS and Coursera, and is currently pursuing a Doctor of Business Administration in Emerging Technologies with a specialisation in Generative AI at Golden Gate University. His published work and professional profile are credited under his legal name, Lee Chiaw Boon.
Run at Praxora Lab
Workshops facilitated by Jason Lee
- AI-Driven AML & Financial Crime Detection
A 3.5-hour course evaluating a transaction-monitoring or KYC workflow for AI and machine-learning anomaly-detection integration.
- AI Governance & Compliance for Regulated Industries
A one-day integrated programme, with Terence Kok and Sameen Khan, for MAS-regulated banks, payment institutions, fintechs and insurers.
Areas of expertise
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AI-driven AML and financial crime detection
Integrating machine learning anomaly detection and risk analytics into transaction monitoring, sanctions screening and KYC/KYB frameworks to cut false positives and improve alert quality.
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RegTech integration and compliance automation
Embedding platforms such as Chainalysis, Elliptic and ComplyAdvantage into regulatory reporting workflows, automating what compliance teams do manually today.
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Building compliance functions under MAS licensing
Acting as MLRO and MAS liaison under the Payment Services Act, securing MPI and DPT licences and passing regulatory inspections with zero major findings.
Published record
Publications by Jason Lee
- AI Governance Maturity for Responsible AI Adoption in AML/CFT Compliance
Book · Research Beacon Publication · 2026
Education
- Golden Gate University, USA DBA (in progress), Emerging Technologies, specialisation in Generative AI
- University of Hull, UK Master of Business Administration
- Nanyang Technological University, Singapore Bachelor of Engineering (Civil)