What you'll do:

As an Assistant Vice President Anti-Money Laundering Transaction Surveillance based in Hong Kong, you will immerse yourself in a dynamic environment where your analytical acumen will be instrumental in protecting the organisation from evolving financial crime threats. Your day-to-day responsibilities will involve conducting detailed investigations into potentially suspicious transactions using cutting-edge data analytics tools. You will collaborate with cross-functional teams to enhance transaction monitoring systems through scenario calibration and threshold tuning while supporting regulatory reviews with expert insights. By developing scripts in SQL or Python for data extraction and scenario testing, you will contribute directly to improving detection capabilities. Your ability to document processes thoroughly ensures robust governance standards are maintained. Success in this role requires not only technical proficiency but also strong interpersonal skills as you work alongside stakeholders across various departments to drive continuous improvement in AML surveillance practices.

Conduct thorough investigations into transaction surveillance alerts, including complex and high-risk cases, ensuring all findings are meticulously documented and escalated as appropriate.
Review and analyse transaction patterns using advanced data analytics techniques to detect suspicious activities and uncover new anti-money laundering typologies.
Apply network analytics and link analysis methodologies to reveal hidden relationships and potential financial crime risks within large datasets.
Support regulatory examinations, internal audits, and risk reviews by providing detailed insights into transaction surveillance processes and outcomes.
Lead threshold tuning exercises, scenario calibration initiatives, and optimisation projects aimed at enhancing alert quality and overall surveillance effectiveness.
Collaborate closely with group-level stakeholders and internal teams on system enhancements, configuration changes, and strategic initiatives related to transaction monitoring.
Assist in the implementation, ongoing monitoring, and governance of artificial intelligence or machine learning models designed for suspicious activity detection.
Oversee system upgrades by managing user acceptance testing (UAT), deploying new detection scenarios, and ensuring seamless integration with existing platforms.
Develop comprehensive documentation covering system configurations, tuning decisions, governance requirements, and process improvements for audit readiness.
Monitor system performance metrics regularly, providing actionable insights that inform management decision-making regarding risk mitigation strategies.

What you bring:

The ideal candidate for the Assistant Vice President Anti-Money Laundering Transaction Surveillance position brings a wealth of practical experience gained from working within established AML frameworks at major financial institutions. Your background includes significant exposure to AI-driven detection systems where you have honed your technical skills in both SQL and Python for advanced data analysis. You possess recognised professional certifications such as ECF-AAMLP which underscore your dedication to maintaining high standards of compliance. Your deep knowledge of regulatory requirements enables you to navigate complex environments confidently while your collaborative approach fosters productive partnerships across teams. With excellent communication abilities complemented by strong analytical thinking skills, you are adept at translating intricate findings into actionable recommendations that support organisational objectives. Your meticulous attention to detail ensures all documentation meets rigorous governance standards while your proactive attitude drives continuous improvement throughout every aspect of transaction surveillance operations.

Bachelor's degree in Finance, Computer Science, Data Analytics or a related discipline demonstrating a solid academic foundation relevant to anti-money laundering functions.
6-8 years of hands-on experience in AML surveillance roles with direct exposure to AI-based detection systems within reputable financial institutions.
Possession of ECF-AAMLP certification or higher qualification as evidence of your commitment to professional standards in anti-money laundering practice.
Comprehensive understanding of AML typologies, current regulatory standards governing transaction monitoring activities, and industry best practices.
Demonstrated expertise in threshold tuning processes, scenario calibration projects, and system configuration tasks aimed at optimising alert generation.
Advanced proficiency in SQL and Python programming languages for efficient data extraction, analysis workflows, scenario testing procedures, and reporting automation.
Proven track record managing cross-functional initiatives involving multiple stakeholders at group level or across business units within large organisations.
Exceptional communication skills enabling effective engagement with colleagues from diverse backgrounds as well as external regulators during audits or reviews.
Strong analytical thinking abilities allowing you to interpret complex datasets quickly while identifying emerging trends or risks associated with financial crime.
Experience developing comprehensive documentation for system configurations along with governance requirements supporting audit readiness.

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