Manager, AML (Systems & Optimization)

Bank of Dongguan International Limited; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

Bank of Dongguan International Limited seeks a subject-matter expert to manage and optimize its AML platforms, focusing on Transaction Monitoring and Name Screening. The role requires tuning, calibration, and regular reviews to align with evolving typologies and regulatory expectations.

You will design UAT plans, validate changes, and collaborate with IT and vendors to implement system modifications while maintaining strong data governance and analytics capabilities for senior management

Qualifications

• Bachelor’s degree in data science or related quantitative field.
• Minimum 5 years in banking with AML system management or FCC project experience.
• Hands-on configuration and tuning of AML solutions like TM or Name Screening.
• Familiarity with AML/CTF regulations and typologies.
• English and Chinese language skills (Putonghua).

Responsibilities

• Own maintenance, enhancement, and optimization of TM and Name Screening AML platforms.
• Lead calibration, tuning, and threshold reviews to detect suspicious activity.
• Design and execute UAT plans for AML upgrades and regulatory changes.
• Prepare MI reports and dashboards on system health, alerts, tuning, and false positives.
• Provide advisory support between IT and compliance end-users.
• Collaborate with IT and vendors to implement system modifications.
• Maintain SOPs, tuning methodologies, and data governance docs.
• Handle special assignments as needed.

Skills

SQL

Python

Data analytics

Analytical mindset

Education

Bachelor's degree

Tools

SAS

TM tuning

Job description

Act as the subject matter expert and primary owner for the ongoing maintenance, enhancement, and optimization of the bank's AML systems, specifically Transaction Monitoring (TM) and Name Screening platforms.

Lead the regular calibration, tuning, and threshold reviews of the AML TM system to ensure suspicious activities are effectively detected in alignment with the latest AML typologies and regulatory expectations.

Continuously review, test, and optimize the AML Name Screening system's fuzzy logic and matching algorithms to strike an optimal balance between screening effectiveness (risk mitigation) and operational efficiency (false positive reduction).

Design, formulate, and execute User Acceptance Testing (UAT) plans and test cases for all AML system upgrades, logic enhancements, and regulatory-driven changes to ensure rigorous pre-implementation validation.

Collaborate closely with IT department, and system vendors to implement system modifications, troubleshoot technical issues.

Maintain and update system-related operational procedures, tuning methodologies, and data governance documentation to ensure robust internal controls and audit readiness.

Prepare and present regular Management Information (MI) reports and dashboards regarding system health, alert volumes, tuning results, and false positive rates to senior management and the AML Compliance Officer.

Provide system-related advisory support to the investigation and operations teams, acting as the bridge between technical IT units and compliance end-users.

Handle special assignments as needed.

Requirements

Bachelor’s Degree or above in Data Science, Computer Science, Statistics, Finance, Business Administration, or a related quantitative discipline.

Minimum 5 years of relevant experience in the banking industry, with a strong, specialized focus on AML system management, tuning, data analytics, or Financial Crime Compliance (FCC) project management.

Proven hands-on experience in configuring, calibrating, and tuning AML solutions (e.g., TM, Sanctions/Name Screening). Familiarity with market-leading systems (e.g., SAS) is highly advantageous.

Professional certification such as CAMS, CAMLP, or Holder of ECF on AML/CFT is preferred.

Strong analytical mindset and data manipulation skills (e.g., SQL, Python, or advanced Excel functions), coupled with a solid understanding of AML/CTF regulations and financial crime typologies.

Excellent problem-solving and project management skills, with the ability to manage multiple system initiatives simultaneously under minimal supervision.

Good command of written and spoken English and Chinese (including Putonghua).

The data collected would be used solely for recruitment purposes. Applicants who do not receive a response from us within 2 months may consider their application unsuccessful, and their data will be destroyed within 12 months of receipt.