This role focuses on testing and tuning systems related to Transaction Monitoring, name screening, and customer risk assessment. It also involves supporting FCC projects by working on system design, data integration, and workflow mapping.

Job Responsibilities:

• Review and optimize the design and functionality of current systems, test set threshold values, workflows of the AML system/Cloud Data Analytics Platform (CDP), and develop user acceptance testing (UAT) scenarios based on system updates and regulatory changes.
• Work with FCC project teams (AML and TM), system vendors, and in-house data scientists to coordinate regular activities (e.g. TM system tuning and threshold reviews) and ad hoc projects (e.g. machine learning for TM detection).
• Support AML/TM teams with customer name screening, risk assessment, transaction monitoring, and fraud detection processes and systems.
• Ensure proper documentation on system reviews, findings, and recommendations, and support FCC head and team leads to effectively track progress and scheduling for requested changes and system enhancement opportunities.
• Prepare regular MIs (e.g., HKMA reports, Monthly Risk Management Compliance Reports, Bi-monthly Meeting Papers, and other ad hoc requests) for management or regulatory reporting.
• Collaborate, guide and challenge internal stakeholders, including the First Line of Defence (FLOD), to implement risk management and compliance procedures related to external fraud risk management (FRM) and continuous transaction reviews.

Job Requirements:

• University Degree or above in risk management, accounting, finance, business, economics, law, mathematics or statistic disciplines.
• Well versed with HKMA AML Guidelines, Payment Systems and Stored Value Facilities Ordinance
• At least 10 years' relevant experience from the financial services industry with sound Financial Crime Compliance, investigation and/or risk management experience, candidates with less experience will be considered as Manager.
• Knowledgeable in Payment Systems and Stored Value Facilities Ordinance/Banking Ordinance and HKMA's AML Guideline.
• Strong ability to evaluate, appraise and prioritize risk.
• Self-starter, highly independent with professional integrity.
• Experience with AML compliance software and systems (e.g. SAS, Norkom and Actimize etc.) and tuning methodologies
• Knowledge in data analysis and visualization tools (e.g. SQL, Python and Tableau etc.)
• Strong analytical and communication skills, with the ability to communicate and negotiate with internal stakeholders at all levels.
• Proficient in MS Access, Excel, Word and PowerPoint.