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

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 AFC domain experts (Investigations, FIU, Policy, Typologies) to ensure outputs are reflective of real financial crime behaviors, actionable for investigations and aligned to regulatory expectations
• Act as key bridge between Compliance, Technology, Data and AFC teams
• Ensure strong programme governance, stakeholder management and regulatory alignment
• Manage and provide necessary support for all review undertaken by Group Internal Audit, external audits and Regulatory agencies that have related AML / CFT TM system scopes
• Lead and develop a team of AML TM system functional professionals

Job Requirements

Core Profile

• Minimum 12-15 years of supervisory role experience in financial industry risk surveillance roles with a strong focus on AML / Financial Crime

• Senior AML professional with deep, hands-on experience in managing TM systems
• Proven track record in designing and optimizing TM scenarios, thresholds and detection frameworks, delivering large scale TM or surveillance transformation programmes
• Strong programme and project management capability with consistent delivery outcomes
• Proficiency in data analysis and statistical concepts
• Professional AML-related certification

Critical Capabilities

• Strong technical and functional understanding of TM systems (non-negotiable) including
  • Rules, scenarios design and configuration,
  • Threshold calibration and tuning,
  • Alert generation logic and workflow integration
• Experience integrating or working alongisde machine learning models and analytics use cases in TM environments
• Experience with holistic framework that looks at synergising ongoing customer monitoring between Line 1 and Line 2 across multiple control components will be advantageous.
• Ability to bridge AML typologies, system logic, analytic models
• Experience working closely with data scientists / analytic teams, AFC domain experts to validate real work applicability of detection approaches
• Ability to operate at at Group level, providing guidance across multiple jurisdictions
• Solid grounding in AML/CFT regulations, including expectations on model governance, explainability and auditability

Leadership & Style

• Execution focused, delivery oriented leader with strong programme discipline
• Strong stakeholder management across Group, country teams, Compliance, AFC, Technology & Data teams
• Comfortable operating as a translator between domain experts and technical specialists
• Practical and pragmatic, able to balance innovation with regulatory and operational realities

Education

• Minimum a recognized degree in a relevant field

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

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