Assistant Vice President, Transaction Monitoring

OCBC Bank (Hong Kong) Limited; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

OCBC Bank (Hong Kong) Limited is seeking an experienced AML Surveillance professional to conduct and review complex investigations, identify unusual patterns, and apply advanced analytics to detect.financial crime. The role involves tuning detection scenarios, cooperating with Group stakeholders, and supporting regulatory examinations.

You will utilize SQL and Python to extract data, test scenarios, and report findings, while maintaining governance for AI/ML-based detection systems.

Qualifications

• 6–8 years of AML surveillance experience with exposure to AI-based detection systems.
• ECF-AAMLP certification or above is required.
• Bachelor’s degree in Finance, Computer Science, Data Analytics, or related discipline.
• Strong understanding of AML typologies, regulatory standards, and transaction monitoring platforms.
• Proficiency in SQL and Python for data extraction, analysis, and scenario testing.
• Proven ability to manage cross-functional initiatives and collaborate with Group-level stakeholders.
• Strong communication, analytical thinking, and stakeholder engagement skills.

Responsibilities

• Conduct and review transaction surveillance investigations, including complex and high-risk cases.
• Identify unusual transaction patterns, suspicious activities and emerging AML typologies through detailed analysis.
• Apply data analytics, network analytics and link analysis to uncover hidden relationships and financial crime risks.
• Support regulatory examinations, audits and risk reviews relating to transaction surveillance.
• Lead and execute threshold tuning, scenario calibration and optimisation to improve alert quality and surveillance effectiveness.
• Partner with Group and internal stakeholders on transaction surveillance system enhancements, configuration changes and strategic initiatives.
• Support AI/ML model implementation, monitoring and governance for suspicious activity detection.
• Manage system upgrades, UAT testing and deployment of new detection scenarios.
• Develop and maintain documentation for system configuration, tuning decisions and governance requirements.
• Monitor system performance and provide insights to support management decision-making.
• Develop SQL and/or Python scripts for data analysis, scenario testing and reporting.
• Keep abreast of emerging AML typologies, regulatory developments and surveillance technologies.

Skills

SQL

Python

Data analytics

AML surveillance

Threshold tuning

Scenario calibration

Education

Bachelor's degree in Finance / CS / Data Analytics

Tools

AI-based detection systems

Transaction monitoring platforms

Job description

• Transaction Surveillance
• Transaction Monitoring

What you will be doing:

• Conduct and review transaction surveillance investigations, including complex and high-risk cases.
• Identify unusual transaction patterns, suspicious activities and emerging AML typologies through detailed analysis.
• Apply data analytics, network analytics and link analysis to uncover hidden relationships and financial crime risks.
• Support regulatory examinations, audits and risk reviews relating to transaction surveillance.
• Lead and execute threshold tuning, scenario calibration and optimisation to improve alert quality and surveillance effectiveness.
• Partner with Group and internal stakeholders on transaction surveillance system enhancements, configuration changes and strategic initiatives.
• Support AI/ML model implementation, monitoring and governance for suspicious activity detection.
• Manage system upgrades, UAT testing and deployment of new detection scenarios.
• Develop and maintain documentation for system configuration, tuning decisions and governance requirements.
• Monitor system performance and provide insights to support management decision-making.
• Develop SQL and/or Python scripts for data analysis, scenario testing and reporting.
• Keep abreast of emerging AML typologies, regulatory developments and surveillance technologies.

What we are looking for:

• Bachelor’s degree in Finance, Computer Science, Data Analytics, or related discipline.
• 6–8 years of experience in AML surveillance, with exposure to AI-based detection systems.
• ECF-AAMLP certification or above is required.
• Strong understanding of AML typologies, regulatory standards, and transaction monitoring platforms.
• Proven experience in threshold tuning, scenario calibration and system configuration.
• Proficiency in SQL and Python for data extraction, analysis, and scenario testing.
• Proven ability to manage cross-functional initiatives and collaborate with Group-level stakeholders.
• Strong communication, analytical thinking, and stakeholder engagement skills.