VP, AML Assurance (Data Analytics), PFS

Company: 2201 United Overseas Bank (Malaysia) Bhd

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

Job Summary
As an AML Assurance - Data Analyst at United Overseas Bank (Malaysia) Bhd, you will be responsible for leveraging data analytics to enhance the effectiveness of our Anti-Money Laundering (AML) assurance framework. This role involves scrutinizing transaction data, identifying suspicious patterns, and contributing to the continuous improvement of our AML controls.

Job Responsibilities

• Develop and implement data analytics solutions to support AML assurance activities, including transaction monitoring, customer due diligence, and suspicious activity reporting.
• Extract, transform, and load large datasets from various sources for analysis, ensuring data integrity and accuracy.
• Perform in-depth analysis of financial crime data to identify trends, anomalies, and potential AML risks.
• Create and maintain dashboards, reports, and visualizations to communicate findings to stakeholders and support decision-making.
• Collaborate with AML compliance, risk management, and IT teams to understand requirements and translate them into effective data solutions.
• Assist in the development and calibration of AML detection scenarios and rules.
• Conduct validation and testing of AML systems and models to ensure their effectiveness and compliance with regulatory requirements.
• Document data methodologies, processes, and findings clearly and comprehensively.
• Stay updated with industry best practices, regulatory changes, and emerging technologies in AML and data analytics.

Job Requirements

• Minimum of 8 to 10 years of experience in data analysis, preferably within the financial services sector, with exposure to AML or financial crime compliance.
• Proficiency in SQL/SAS/Python for data extraction and manipulation.
• Experienced with data visualization tools such as Tableau, Power BI, or QlikView.
• Demonstrated expertise in statistical analysis, excellent analytical, problem-solving and critical thinking skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong communication and presentation skills to convey complex data insights to non-technical audiences and stakeholders.
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Economics, or a related quantitative field.
  In-depth understanding of AML/CFT regulations and guidelines will be an added advantage.
  

Additional Requirements

University-Bachelor

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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