VP, Compliance Analytics

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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.

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

Responsibilities

• Develop, implement, and maintain a comprehensive next-generation Artificial Intelligence (AI) and Machine Learning (ML) AFC analytics strategy to mitigate financial crime risks using advanced analytics across the organization.
• Lead & develop predictive models, blockchain analytics, generative AI models, AI-driven behavioral analytics to identify financial crime risks and on-going AFC surveillance.
• Explore cutting-edge technologies through research and partnering with stakeholders to enhance internal AI/ML capabilities for AFC surveillance.
• Proactively identifying and managing risks associated with new technologies and evolving financial crimes.
• Develop framework to optimize models for explainability and regulatory transparency.
• Work closely with model end-users and internal key stakeholders to identify opportunities for next-generation AI/ML future model build for AFC surveillance.
• Lead and guide the team to build a range of next-generation AI/ML models using advanced analytics for ongoing AFC surveillance.

Experiences / Qualifications

• Education: Bachelor's degree in Data Science, Statistics, Finance, Business Administration, Computer Science, or a related field; Relevant professional certifications in AML, compliance, or data science is a plus.
• Experience: Minimum of 8-10 years in the financial services industry, including hands-on experience with AFC / sanctions analytics and compliance role. Proficiency in data analysis tools and software, such as SQL, R, Python, SAS or Network Link Analysis.
• Analytical Skills: Strong analytical, problem-solving, with the ability to think strategically and make data-driven decisions.
• AI/ML Knowledge: Proven experience in developing and implementing large-scale AFC / Sanctions analytics strategies and solution.
• AML Knowledge: In-depth understanding of AML/CFT regulations, transaction monitoring systems, and anti-financial crime compliance best practices.
• Communication and Collaboration: Exceptional interpersonal and communication skills, with the ability to work across multiple departments and to drive discussions, manage and influence senior stakeholders.
• Soft Skills: Agile, inquisitive, self-driven, and capable of adapting to dynamic environments. Strong focus on integrity and meticulous attention to detail. Strong project management skills with experience in leading large projects and establishing new operating models.
• Additional Preferences: Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala, as well as Big data architecture and automation software tools

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.

Apply now and make a Difference

Seniority level

• Seniority levelNot Applicable

Employment type

• Employment typeFull-time

Job function

• Job functionLegal

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