Job Description
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
Job Summary:
We are seeking a highly skilled and experienced Head of AML Analytics to lead the development and implementation of advanced anti-money laundering (AML) analytics strategies for UOB (Thai) Public Company Limited. This role will be instrumental in enhancing our AML detection capabilities, optimizing operational efficiency, and ensuring compliance with all relevant regulatory requirements.
Job Responsibilities:
* Lead and manage a team of AML analysts, fostering a culture of high performance, continuous improvement, and innovation.
* Develop, implement, and refine advanced analytics models, methodologies, and tools for AML transaction monitoring, suspicious activity detection, and risk assessment.
* Leverage big data technologies, machine learning, and artificial intelligence to identify emerging AML typologies and enhance detection effectiveness.
* Collaborate with internal stakeholders including Compliance, Technology, Operations, and Business units to understand their needs and provide data-driven insights.
* Oversee the end-to-end lifecycle of AML analytical models, from data acquisition and preparation to model development, validation, deployment, and ongoing monitoring.
* Ensure the accuracy, integrity, and completeness of data used for AML analytics.
* Prepare and present clear, concise, and actionable reports on AML risk exposure, detection performance, and analytical findings to senior management and regulatory bodies.
* Stay abreast of industry best practices, regulatory changes, and technological advancements in AML and financial crime prevention.
* Provide expert guidance and thought leadership on complex AML analytical challenges.
* Drive continuous improvement initiatives to enhance the efficiency and effectiveness of AML processes and systems.
Job Qualifications:
* Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related discipline.
* Minimum of 10 years of experience in financial crime analytics, with at least 5 years in a leadership or managerial role focused on AML.
* Proven track record of developing and deploying advanced analytical models (e.g., machine learning, predictive analytics) in an AML context.
* Strong proficiency in programming languages such as Python or R, and experience with statistical modeling and data manipulation tools.
* Extensive experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable.
* Deep understanding of AML regulations, compliance frameworks (e.g., FATF, local regulations), and typologies of financial crime.
* Excellent analytical, problem-solving, and critical thinking skills.
* Strong communication and presentation skills, with the ability to articulate complex analytical concepts to both technical and non-technical audiences.
* Ability to lead, mentor, and develop a high-performing team.
* Professional certifications such as ACAMS (Association of Certified Anti-Money Laundering Specialists) are a plus.
* Experience working in the banking or financial services sector in Thailand is preferred.
Additional Requirements
Develop, Engage, Execute, Strategise
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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