Responsibilities:

• Manage and perform AML/CFT compliance review across multiple business units using data analysis techniques
• Conduct risk assessments using data analysis methods for identify emerging risks promptly and ensure that the scope of compliance review covers all significant risks
• Utilize data-driven insights to identify AML/CFT compliance and control issues, and confirm the findings and recommendations with the relevant stakeholders
• Monitor the implementation progress of rectification actions
• Prepare and ensure timely delivery of compliance review reports that include practical recommendations
• Coordinate the AML/CFT review involving data-driven review projects, including those by parent bank, internal, external auditors or regulators
• Execute ad-hoc review projects assigned by management
• Provide training to promote the awareness and understanding of the business and control units

Requirements:

• Bachelor degree or above in Law, Banking and Finance, Accounting or related disciplines
• Relevant qualification in CAMS, ECF (AML/CFT) Core Level, FRM, CPA, ACCA will be an advantage
• At least 4-5 years’ experience in AML/CFT Compliance, Audit, Internal Control, or regulatory work in financial sectors
• Possess strong data analysis capabilities to analyze large volumes of complex data
• Familiar with data querying and analysis, knowing how to extract correct datasets, cleanse data and apply logic to distill important information
• Be an analytical and critical thinker, who can manage complex scenario challenges simultaneously and able to work independently and under pressure
• Excellent project management, communication and presentation skills to work effectively across teams/ departments
• Strong knowledge of audit methodologies, risk and controls
• Good command of written and spoken English and Chinese
• Proficient in MS PowerPoint, Excel and Word
• Experience in computer assisted audit techniques and data analytics, data modelling and data visualization, is a definite asset
• Knowledge of data analysis programming languages such as SQL and Python, will be a plus
• Business trip may be required