Responsibilities: • Support AML related projects, include maintain the AML system and control review; • Assist MLRO and be the lead of AML team Communicate with IA and JFIU; • Provide advice to business/support units on day-to-day AML matters; • Prepare and update the AML/CFT policies and procedures to ensure they are in line with regulatory requirements; • Review the application of establishment and continual operation of business relationships which present higher ML/TF risk; • Review Suspicious Transaction Reports; • Perform ML/TF risk assessments in relation to customer, country, product, delivery channel, etc.; • Prepare and deliver AML/CFT training and workshops; • Prepare AML-related reporting materials for senior management oversight; • Analyze AML-related data to support enhancement of controls; • Lead or support ad-hoc projects/tasks, e.g. FATCA & CRS reporting, thematic review, procedure enhancement and systems enhancement. Requirements: • Able to work independently with minimum supervision; • Pro-active and be a team player; • Strong analytical abilities and good judgement; • Good interpersonal skills to work with various stakeholder; • Able to work under pressure; • Fluency in both spoken and written English with strong written skills; • Communicate effectively with people across the organization and regulators; • Excellent ability to build cooperative relationships; • Familiar with the regulatory environment in Hong Kong. Qualifications • Prior working experience in AML advisory and investigations; • Knowledge in Insure-tech; • Strong familiarity with Hong Kong legislation and regulatory environment; • Familiar with IA regulatory and other financial crime requirements; • University graduate; • At least 7 years of relevant working experience; • Holder of CAMLP/AAMLP/CAMS certification, CFE certification is a plus; • Solid knowledge of AML typologies, CDD process and requirements; • Proficient spoken and written Chinese （Putonghua and Cantonese） and English; • Insurance experience is an advantage; • AML related system and UAT experience is an advantage.