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Manager (Quality Assurance and Data Analytics), Financial Crime Compliance

FWD Insurance
香港
全职
2天前
About FWD Group
FWD Group is a pan-Asian life and health insurance business that serves approximately 30 million customers across 10 markets, including BRI Life in Indonesia. FWD’s customer-led and tech-enabled approach aims to deliver innovative propositions, easy-to-understand products and a simpler insurance experience. Established in 2013, the company operates in some of the fastest-growing insurance markets in the world with a vision of changing the way people feel about insurance. FWD Group is listed on the Main Board of The Stock Exchange of Hong Kong Limited under the stock code 1828.
For more information, please visit
www.fwd.com
For more information about FWD Hong Kong, please visit
www.fwd.com.hk/
.
We are seeking a highly experienced and detail-oriented Quality Assurance (QA) Manager to implement the QA framework within our Financial Crime Compliance (FCC) program including but not limited to, Anti-Money Laundering, Sanctions, Anti-Bribery & Corruption (ABC), and Anti-Fraud. This person will be responsible for conducting QA reviews across all FWD operating Business Units and driving different data analysis to understand the AML and sanctions risk in the company. This role is critical in ensuring the effectiveness and consistency of FCC controls throughout the insurance business, while driving continuous improvement and maintaining strong compliance with regulatory requirements and internal standards.
The Job
  • Drive different data analysis to study the AML and Sanctions risk of the company.
  • Conduct market research to understand the AML control in local market.
  • Support the Compliance Quality Assurance team lead to monitor and review Anti Money Laundering (AML) control to ensure that the company’s operation complies with regulatory and internal requirements.
  • Support the team lead to develop the Compliance testing framework.
  • Create comprehensive testing methodologies. Implement, maintain, and enhance a robust QA program to assess the effectiveness of FCC processes across all departments, including but not limited to name screening, customer due diligence (CDD), premium collection, transaction monitoring and data quality in the AML system.
  • Prepare QA reports with detailed findings and recommendations within agreed timelines. Follow up on management responses and remedial actions.
  • Any ad hoc assignments or tasks that may be delegated from time to time.
The Person
  • Degree holder in Computer Science, Business Administration or Information Systems is preferable.
  • Minimum 3 years of working experience in insurance industry.
  • Minimum 2 years of data analytics experience. Hands-on experience in conducting AML related data analysis and review.
  • Familiar with insurance related legislations and regulatory requirements in Hong Kong and Bermuda.
  • Exposure in AML system implementation is an advantage.
  • Fluent in written and spoken English & Cantonese.
  • Detailed person with strong analytical and research skills.
  • Good interpersonal, presentation and communication skills.
  • Knowledge in programming such as Python, VBA or SQL is a strong plus.
  • Able to work under pressure and meet all deadlines.
  • Able to work independently and to make prompt decisions.
We offer 5-day work, 20-22 days annual leaves, excellent learning & development opportunities and an attractive package to the right candidate.

Information collected will be treated in strict confidence and used solely for recruitment purpose. The company will retain all applications no longer than 24 months of which will be destroyed thereafter. When there are vacancies in any of our subsidiaries, holding companies, associated or affiliated companies of, or companies controlled by, or under common control with the Company during that period, we may transfer your application to them for consideration of employment. We are an equal opportunity employer. We do not discriminate on the basis of race, sex, disability or family status in employment process.
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