• Provide quantitative analytics support to the AML core & governance team to enhance risk assessment of ongoing current and emerging AML centric risks in core areas; business, client, operations & system controls within the international business entities.
• Develop and enhance quantitative/qualitative risk assessment model to proactively identify risks enhancement opportunities in areas that are not clearly defined by legislative AML guidance
• Provide data extraction & quantitative validation for targeted AML risks or ongoing AML issues identified
• Provide periodic quantitative entities’ risk assessment report as part of AML governance update to the AML IBG management
• Provide collaboration support with the AML data team on entity level business intelligence related request from regional AML teams.

Requirements:

• Bachelor degree or above majoring in computer science/engineering, statistics, Mathematics, finance and similar fields; Candidate with experience in AML risk modelling and data analytics are preferred
• At least three years’ AML/risk control/fraud management working experience in FI, PI, consulting firms or similar industries
• Proficient in data handling coding (e.g., SQL) and at least one professional analytics tool such as SAS, python etc.
• Familiar with at least one popular BI tool, such as Power BI, Tableau.
• Strong ability in logical thinking and problem solving
• Able to plan & work independently on required deliverables and deadlines
• Able to work under pressure and result-oriented
• Highly flexible and detail-oriented with the ability to multi-task and change directions based on demands