Head of Compliance and MLRO Hong Kong
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Description
Serve as the appointed MLRO for Reap's Hong Kong entities, own the Hong Kong AML/CFT programme, assess suspicious activity, file STRs, manage post-STR actions, set CDD and EDD standards, govern sanctions and transaction monitoring, engage regulators and auditors, oversee investigations, report to senior management, and lead compliance training.
Responsibilities
- Act as appointed MLRO for Hong Kong entities
- Assess suspicious activity escalations and decide whether to file STRs with the JFIU
- Manage post-STR handling, account restrictions, fund quarantine, and law enforcement liaison
- Maintain records of STR decisions and follow-up actions
- Own Hong Kong AML/CFT policies, standards, and procedures
- Lead institutional ML/TF risk assessments
- Set CDD, SCDD, and EDD standards
- Adjudicate high-risk client escalations
- Govern sanctions screening, transaction monitoring, and ongoing due diligence
- Act as primary C&ED contact for MSO licence matters
- Lead external AML audits and remediation
- Monitor Hong Kong regulatory developments
- Provide second-line guidance and oversight to Financial Crime Operations
- Review complex investigations
- Deliver compliance reporting to senior management
- Own Hong Kong AML/CFT training
Requirements
- 10+ years in AML/CFT or financial crime compliance within regulated financial institutions
- Prior appointment as MLRO, Deputy MLRO, or CO/AMLCO in a Hong Kong-regulated institution preferred
- Experience filing STRs with the JFIU
- Experience managing regulator inspections or external AML audits
- Knowledge of AMLO, DTROP, OSCO, UNATMO, C&ED MSO guidelines, and JFIU reporting practice
- Expertise in CDD, EDD, sanctions, transaction monitoring, investigations, and SAR/STR decision-making
- Blockchain analytics and Travel Rule knowledge is an advantage
- CAMS, ICA, or equivalent qualification preferred
- Experience engaging regulators, auditors, and senior stakeholders
Benefits
- Insurance coverage after probation
- Reap Card stipend
- Use of AI tools at work