Head of AML TM Transformation & Analytics

UOB; Singapore; On-site; SGD 250,000 - 390,000; Full time

Job summary

UOB in Singapore seeks a senior AML TM transformation leader to drive analytics-enhanced surveillance and modernise detection capabilities. You will oversee end-to-end TM projects, tune thresholds, and ensure robust control effectiveness while guiding a team of AML TM specialists.

Candidate to have deep TM systems expertise, strong programme leadership, and collaboration with data science and AFC peers to deliver scalable solutions across jurisdictions.

Qualifications

• Minimum 12-15 years of supervisory experience in financial risk surveillance with AML focus.
• Senior AML professional with hands-on TM systems experience.
• Proven track record designing TM scenarios, thresholds and detection frameworks.
• Strong programme and project management capability with delivery outcomes.
• Proficiency in data analysis and statistical concepts.
• Professional AML-related certification.

Responsibilities

• Lead TM transformation from rules-based to hybrid detection with ML and analytics.
• Drive end-to-end TM programmes including upgrades, analytics deployment and data uplift.
• Manage TM system effectiveness, threshold tuning and alert quality.
• Monitor performance with dashboards and ensure stable operation during transition.
• Lead and develop a team of AML TM system professionals.
• Engage with data scientists and AFC domain experts to validate outputs.

Skills

TM systems

Machine learning

Data analysis

Programme delivery

Stakeholder management

Regulatory knowledge

Leadership

Education

Degree in a relevant field

Job description

UOB in Singapore seeks a senior AML TM transformation leader to drive analytics-enhanced surveillance and modernise detection capabilities. You will oversee end-to-end TM projects, tune thresholds, and ensure robust control effectiveness while guiding a team of AML TM specialists.

Candidate to have deep TM systems expertise, strong programme leadership, and collaboration with data science and AFC peers to deliver scalable solutions across jurisdictions.