Senior Associate/Manager - AML System Implementation - Risk Consulting - FS - Hong Kong

Advisory and Design : Advise clients on the design, development and ongoing maintenance of effective and efficient AML/CFT systems, covering the transaction monitoring and name screening solutions tailored for the client needs. System Assessment and Enhancement : Perform regular reviews of client systems to assess system performance, identify enhancement opportunities, and recommend actionable solutions. Manage project tasks related to system implementation and upgrades. Tools development: Develop and implement risk-based tools/monitoring systems for clients, including maintaining AML/CFT related database to support name and payment screening and transaction monitoring. Quality Assurance: Perform quality assurance checking/ reviews to ensure databases are timely updated for ongoing screening and monitoring purposes. Data Analytics: Develop and maintain AML analytics models to detect suspicious activity and enhance transaction monitoring effectiveness and analyse large datasets to identify trends, anomalies, and risk indicators Technical Collaboration: Collaborate with IT and data scientists to optimise AML systems and support system upgrades, rule tuning, scenario development and report automation. Leverage Fintech/ Regtech innovations to enhance AML compliance capabilities. Stakeholder Engagement: Partner with relevant client stakeholders on key compliance initiatives to develop and transform initiatives into feasible solutions, develop actionable roadmaps, and oversee successful implementation. Vendor Management: Liaise with system vendors and relevant project stakeholders in AML/CFT related systems enhancements and upgrade including design and execute the User Acceptance Test (UAT) plan Reporting: Prepare management information reports to provide clients with insights, facilitate senior management oversight, and ensure timely responses to regulatory inquiries.

Bachelor degree holder, preferably Business, Data Science, Finance, Computer Science, or related field is preferred Relevant HKIB qualification (e.g. AAMLP) under the ECF on AML/CFT and/or Fintech would be an advantage Minimum 5 years’ working experience AML analytics/systems, or financial crime compliance/ RegTech in Banking Strong proficiency in SQL, Python, or other data analytics tools, and experience with data visualisation tools such as Tableau, Power BI, or similar Familiarity with AML systems and regulatory requirements in Hong Kong Experienced in project management, system UAT would be a plus Good problem-solving skills and ability to communicate with non-technical stakeholders Command in both written and spoken English and Chinese. Proficiency in Mandarin is desirable.