Thailand Compliance Officer & Money Laundering Reporting Officer

Job Overview

As the named Regulatory Compliance and Money Laundering Reporting Officer (RC and MLRO) for Stripe Thailand, you'll serve as the principal decision-maker and strategic lead on regulatory compliance and financial crime risk management, playing a critical role in ensuring continued safe growth in Thailand.

Responsibilities

• Develop and implement a regulatory compliance strategy for Thailand that aligns with global FinCRO objectives, leverages AI, data science, and automation, and includes regular reporting to the Stripe Thailand Board of Directors on the health and effectiveness of compliance programs
• Own and enhance Stripe Thailand's compliance programs as the RC and MLRO, ensuring the financial crime program prevents, detects, and reports money laundering, terrorist financing, and other financial crimes
• Proactively engage with local regulators to shape fintech oversight, advocate for technology-enabled compliance solutions, and serve as the primary point of contact for regulators in Thailand
• Represent Stripe in external forums and industry groups to help modernize regulatory expectations for the fintech era
• Build and maintain relationships with key financial partners, including banks, payment networks, and third-party providers, serving as the senior point of contact for escalations
• Provide expert compliance guidance to stakeholders on product development, fostering compliance by design

Requirements

• 10+ years of experience in financial crime, with a focus on financial services, fintech, or payments
• Deep knowledge of financial crimes and financial services laws and regulations in Thailand
• High professional fluency in Thai and English

Preferred Qualifications

• CAMS certification or other relevant professional certifications as required by Thai regulators
• Experience working in a global, matrixed organization
• Experience navigating regulatory requirements in a high-growth environment
• High data literacy and ability to work closely with data teams to identify emerging financial crime patterns and validate the effectiveness of detection models
• Problem-solving skills with a data-driven approach to decision-making