Siam RegTech
Download as PPTX, PDF0 likes134 views
The document discusses the challenges of detecting money laundering and its links to terrorism financing, highlighting the need for customized commercial solutions and machine intelligence. It outlines a strategy for utilizing proven concepts, training data, and advanced analytics tools to create a prototype for detecting money laundering in Thailand's specific context. The approach involves collaboration with regulators and financial institutions using a subscription-based model for service delivery.
Siam RegTech
- 2. Money laundering is hard to detect. Spread throughout government & local municipalities like cancer. Lead to Terrorism Financing. Commercial Solutions are costly. Off-the-shelf AML products need customization with local know-hows.
- 3. Machine Intelligence to detect Money Laundering and counter Terrorism Financing with human friendly reporting.
- 4. Use proven concepts from other regulators (outside of Thailand). Applying to domestic scenario of separatism in the Deep South and local corruption. https://fb.com/Watchdog.ACT/ https://fb.com/groups/OpenDataASEAN/ DataKind experts
- 5. Use training data from fintechsandbox.org and use DataRobot to create a prototype Obtain test data from regulators Store in Hadoop / Apache Spark using Cloudera Enterprise Prep data using Alteryx Feed them to DataRobot to find rankings of more complex ML models Visualize findings and generate reports with Tableau Add narration with Quill and Wordsmith Use Splunk for ad hoc queries
- 6. Financial Institutions Commercial banks with presence in Thailand. Regulators BoT: Bank of Thailand MAS: Monetary Authority of Singapore FCA: Financial Conduct Authority (UK) ASIC: Australian Securities & Investments Commissions FINRA: Financial Industry Regulatory Authority ESMA: European Securities and Markets Authority IOSCO: International Organization of Securities Commissions FINMA: Swiss Financial Market Supervisory Authority BaFin: Federal Financial Supervisory Authority (Germany)
- 7. Subscription model for financial institutions Long-term Enterprise Licensing for Regulators
- 8. Tanat Tonguthaisri https://LinkedIn.com/in/epicure Tools Cloud services (AWS, Azure, or Google Cloud) Cloudera (Big Data via Apache Spark / Hadoop) Alteryx (Data Preparation) DataRobot (ML automation) Tableau (Visualization) Splunk (ad hoc querying & Hunk for Hadoop) Narrative Science (Quill for narration) Automated Insights (Wordsmith for narration)