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.

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. 

We offer successful candidate an attractive remuneration package and excellent career prospects. Interested parties please send your resume, present and expected salary, contact details and quoting the reference number by clicking "Apply"

Visit our web site: http://www.octopus.com.hk/

The personal data collected will be used for recruitment purposes only. If you are not contacted by us within six weeks, you may consider your application unsuccessful. Personal data with an unsuccessful applicant will be destroyed 12 months after rejection of the application. During this retention period, you have the right to request for correction or destruction of your personal data at any time. Any request for the correction or destruction of personal data should be addressed in writing to our Human Resources & Administration Department.

Octopus is an equal opportunity employer and all employment decisions and Human Resources policies are administered; especially those relating to recruitment & selection, compensation & benefits, promotion & transfer, training & development and termination & redundancy; without discrimination on the basis of age, race, colour, religion, sex, national origin, marital status, pregnancy, physical and mental disability and family status but on genuine occupational qualification, job performance, employees’ ability and internal/ external relativities.