VP, Specialised Investigation Team

1011 United Overseas Bank Ltd; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

United Overseas Bank Limited (UOB) seeks an experienced AML analytics professional to support SIT’s data models and integration efforts. The role focuses on strengthening investigative value, broadening risk coverage and delivering integrated analytics capabilities across SIT.

The candidate will combine investigation insights with analytics to drive enhancements, working with investigators, risk specialists, partner analytics teams and technology stakeholders to progress from assessment to

Qualifications

• Experience conducting AML investigations and assessing customer activities and related information.
• Experience in AML data analytics, model enhancement or detection development.
• Strong understanding of AML risks, typologies and red flags.
• Ability to translate opportunities into clear business requirements and success measures.

Responsibilities

• Shape SIT’s future data analytics strategy and priorities.
• Maintain the roadmap of SIT models and enhancement initiatives.
• Identify opportunities to extend risk coverage and connect analytics capabilities.
• Translate insights into actionable enhancements and delivery-ready requirements.
• Coordinate delivery with SIT investigators, data analytics teams and technology stakeholders.
• Support validation, testing and integration of enhancements into workflows.
• Monitor new analytics approaches and share lessons learned.

Skills

AML investigations

Data analytics

Stakeholder management

Communication

Cross-functional teamwork

Model enhancement

Job description

Company

Company: 1011 United Overseas Bank Ltd About UOB United Overseas Bank Limited (UOB) is a leading bank in ASEAN with a global network in Southeast Asia, Asia Pacific, Europe and North America. Operating through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia, Thailand and Vietnam, we have a global network of about 430 branches and offices in 19 markets. At the heart of UOB is our culture, shaped by the UOB Way and anchored on our four values – Honourable, Enterprising, United and Committed. For more than 90 years, these values have guided how we do right by our customers, collaborate with one another and create long-term value for the communities we operate in. As One Bank, we are committed to helping our colleagues build sustainable careers grounded in purpose, supported by strong values, and enriched with meaningful opportunities to grow.

Job Description

About the Specialised Investigation Team

The Specialised Investigation Team (SIT) sits within Investigation & Intelligence, Group Compliance and conducts complex and specialist financial crime investigations. These include network investigations and reviews relating to areas such as correspondent banking, trade-based money laundering, sanctions, PEPs, tax evasion, shell companies, intelligence-led themes, and scam networks. SIT uses data analytics models and tools to support the identification, prioritisation and investigation of potentially significant financial crime risks.

Role Overview

We are seeking an experienced AML professional to join SIT’s AML Analytics Excellence & Integration Team and support the continued evolution of SIT’s data analytics models, tools and thematic capabilities. This is a forward-looking role focused on identifying opportunities to strengthen investigative value, broaden risk coverage and develop more integrated, effective and sustainable data analytics capabilities for SIT. The successful candidate will bring together investigation insights, emerging typologies, industry developments and user feedback to support the future direction of assigned SIT models and tools. Working closely with the Lead, AML Analytics Excellence & Integration, the candidate will translate opportunities into clear enhancement priorities and delivery-ready business requirements. The role will also collaborate with SIT investigators, intelligence and risk-domain specialists, partner data analytics teams, and technology stakeholders to progress initiatives from assessment and prioritisation through implementation and outcome review.

Key Responsibilities

• Support the Lead, AML Analytics Excellence & Integration in shaping SIT’s future data analytics strategy and priorities.
• Maintain the roadmap and end-to-end view of assigned SIT models, tools and enhancement initiatives.
• Identify opportunities to strengthen investigative value, extend risk coverage and connect complementary analytics capabilities.
• Translate investigation insights, emerging typologies and user feedback into actionable enhancements and delivery-ready business requirements.
• Assess and recommend initiatives based on financial crime risk, investigative value, feasibility, operational impact and dependencies.
• Coordinate delivery with SIT investigators, intelligence and risk specialists, partner data analytics teams and technology stakeholders.
• Support business validation, user acceptance testing, implementation readiness and integration into SIT’s investigative workflows.
• Evaluate enhancement outcomes using investigator feedback, investigative relevance, usability and intended benefits.
• Escalate material delivery risks and dependencies, while providing clear portfolio updates and recommendations.
• Collaborate with the wider AML Analytics Excellence & Integration Team to align model enhancements with intelligence, governance and reporting priorities.
• Monitor emerging risks, analytical methods and technologies that could create further value for SIT.
• Share effective approaches and lessons learned to support continuous improvement across SIT’s data analytics capabilities.

Requirements

• Practical experience conducting AML investigations and assessing customer activities, transactions, relationships and supporting information.
• Experience in AML data analytics, model enhancement, detection development, thematic reviews or related financial crime work.
• Strong understanding of AML risks, typologies, red flags and detection approaches.
• Ability to connect investigation findings and emerging risks with data analytics opportunities.
• Ability to translate opportunities into clear business requirements, expected outcomes and success measures.
• Experience working across investigation, intelligence, analytics, product and technology stakeholders.
• Strong analytical judgement, delivery discipline and stakeholder-management skills.
• Collaborative mindset, with the ability to contribute effectively within an integrated, cross-functional team.
• Clear written and verbal communication, including the ability to present complex matters concisely to management.

Preferred Experience

• Experience with AML models, detection scenarios, thematic dashboards or network analytics.
• Experience developing enhancement proposals, business requirements and testing materials.
• Experience coordinating model integration, implementation or post-implementation reviews.
• Familiarity with data analytics, visualisation and emerging analytical technologies.
• Experience contributing to portfolio roadmaps, governance forums or industry initiatives.
• Relevant AML, financial crime, business analysis, project management or data analytics certification would be advantageous.

Candidate Profile

The ideal candidate combines practical AML investigation experience with a forward-looking approach to data analytics and detection capability development. The candidate should be able to identify how emerging risks, investigation insights, new data and analytical methods can deliver greater value to SIT. The individual will be structured, inquisitive and outcome-focused, with the ability to convert opportunities into sustainable enhancements. The successful candidate will work collaboratively with the Lead, AML Analytics Excellence & Integration, other team members, investigators, subject matter experts, partner data analytics teams and technology stakeholders. The role is suited to someone who can contribute specialised model enhancement and integration expertise while maintaining a broader view of SIT’s collective analytics priorities.

Additional Requirements

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.