Senior VP - Transaction Monitoring Systems Head, Compliance Analytics & Insights, Group Compliance

Company: 1011 United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers. Job Description Role Mandate Lead the transformation of AML Transaction Monitoring (TM) from a rules-based framework to a next-generation, analytics augmented surveillance capability Role requires deep, hands-on mastery of TM systems expertise, strong programme delivery leadership and ability to integrate advanced analytics and machine learning into production environments Group Oversight Advisory Operating at a Group level, the role provides strong oversight on TM analytics initiatives Provide advisory and support to Singapore and overseas country teams on TM optimisatoin, analytics adoption and implementation challenges best practices Ensure consistency, scalability and alignment with Group standards and regulatory expectations Lead TM transformation, delivery and optimisation Lead transition from rules-based TM to hybrid detection frameworks combining rules, machine learning and advanced analytics Drive end-to-end delivery of AML surveillance programmes including system upgrades, analytics deployment and data capability uplift Drive, own and actively manage TM system effectiveness including scenario design and optimization, threshold tuning and calibration, alert quality and false positive reduction Monitor TM performance metrics using dashboards and track detection outcomes Maintain stability and performance of existing TM systems during transition, ensuring no degradation in control effectiveness Manage end-to-end TM system projects (upgrades, enhancements, integrations, TM related upstream projects, machine learning initiatives) and ensure completeness of project documentations Stakeholder Engagement Work closely with data and decision scientists to operationalise models into live TM environments Partner with