AML Systems Manager – AI-Powered Compliance

Ping An Bank Company Ltd.; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Ping An Bank Hong Kong Branch is seeking a Manager, AML System in the Legal & Compliance Department to design, maintain and enhance the Bank’s AML systems, including sanctions screening and transaction monitoring, with AI-driven solutions. The role focuses on ensuring robust compliance across operations.

Ideal candidates hold a university degree in data science, computer science, accounting or statistics, with professional AML certifications; at least eight years in assurance or auditing,

Qualifications

• University degree in data science, computer science, accounting or statistics.
• Education or certifications in AI or advanced data analytics is a plus.
• Minimum 8 years of solid assurance or auditing experience, preferably with AML systems.
• Sound knowledge of AML/CFT legislation and regulatory requirements.

Responsibilities

• Design, maintain and enhance AML systems, including sanctions screening and transaction monitoring.
• Assist in AML compliance reviews to ensure adherence to laws and internal requirements.
• Provide AML advisory to business and operation units.
• Promote sound compliance culture and deliver AML training.
• Compile management reports on AML matters.
• Maintain proper records and provide general administrative support.
• Handle ad hoc tasks and projects as assigned.

Skills

Analytical thinking

Problem solving

Interpersonal skills

Bilingual English/Chinese

Education

Data Science / Computer Science / Accounting / Statistics (Bachelor's or higher)

AML certifications (AAMLP, CAMLP, CAMS)

Tools

SQL

Python

R

Excel

PowerPoint

Job description

Ping An Bank Hong Kong Branch is seeking a Manager, AML System in the Legal & Compliance Department to design, maintain and enhance the Bank’s AML systems, including sanctions screening and transaction monitoring, with AI-driven solutions. The role focuses on ensuring robust compliance across operations.

Ideal candidates hold a university degree in data science, computer science, accounting or statistics, with professional AML certifications; at least eight years in assurance or auditing,