Lead CDD/EDD AML Operations | Team Coaching & Automation

YTL Digital Bank Berhad (Registration No. 202201037182 (1482879-P); Kuala Lumpur; On-site; MYR 150,000 - 210,000; Full time

Job summary

YTL Digital Bank Berhad is seeking an experienced AML professional to lead the CDD/EDD Operations team. You will supervise day-to-day activities, review complex cases, and mentor analysts to maintain high standards of accuracy and compliance.

You will design automation in Python and Excel VBA to streamline data extraction, screening, and reporting, track performance against SLAs, and escalate as needed in coordination with Compliance and Management.

Qualifications

• 4–7 years of experience in AML/CDD/EDD operations or financial crime compliance.
• Supervisory or mentoring experience preferred.
• Solid knowledge of AML/CFT regulations and risk-based due diligence.
• Hands-on Python scripting and Excel VBA for automation.
• Experience handling escalations in high-risk cases.

Responsibilities

• Team Supervision: Supervise the daily activities of a team of CDD/EDD analysts, monitor case allocation and workflow to meet SLAs.
• Case Review & Quality Checks: Review and approve CDD/EDD cases, including high-risk or PEP profiles; perform sample quality checks and provide feedback.
• Escalation Handling: Review escalated name matches, suspicious activity indicators, and adverse media findings; escalate to Manager/Compliance as needed.
• Process Automation & Data Tools: Design and build Python scripts and Excel Macros to automate data extraction, screening, and reporting; collaborate with IT to scale automation.
• Process & Performance Monitoring: Track productivity, aging, backlog, and report to Manager; suggest process improvements.

Skills

AML/CDD/EDD operations

Team supervision

Regulatory knowledge

Communication skills

Data analysis

Tools

Python

Excel Macros/VBA

Job description

YTL Digital Bank Berhad is seeking an experienced AML professional to lead the CDD/EDD Operations team. You will supervise day-to-day activities, review complex cases, and mentor analysts to maintain high standards of accuracy and compliance.

You will design automation in Python and Excel VBA to streamline data extraction, screening, and reporting, track performance against SLAs, and escalate as needed in coordination with Compliance and Management.