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 the Department
The Compliance function is a strategic partner and a trusted business enabler to the Board and senior management. It is our responsibility to ensure that the Group continuously fulfils its regulatory obligations in today’s tight and dynamic regulatory landscape. To do that, we work closely with internal stakeholders to identify and to assess regulatory risks. This collaboration also includes developing practical solutions that integrate regulations into operational requirements as well as actively shaping and promoting stronger compliance culture and literacy in the Bank.
Job Responsibilities
New Model Development
- Develop AFC model / automation narratives (e.g., purpose, logic, parameters, data requirements, output surfacing / structuring) in collaboration with the business and other relevant stakeholders.
- Work closely with other Data Scientist(s) and Business Analyst, and undertake the end-to-end AFC model development, including data wrangling, exploratory data analysis, feature selection, model selection, training, testing, etc.
- Conduct periodic tuning, testing and back-testing of monitoring of AFC models to ensure continued effectiveness.
Support Model Maintenance
- Liaise with Business Analyst to receive and understand business feedback on AFC model performance and incorporate feedback into models.
- Re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed.
- Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards.
Systems & Models Testing and Validation
- Participate in user testing of new AFC analytics tools, models and systems upgrades for high priority tech projects.
- Collaborate with technology team to lead the transformation of AFC Core Engine systems/ platforms to be future ready via adoption of AI/ML capabilities.
Special Projects: Support high-priority strategic initiatives, particularly those requiring enhanced analytical capabilities for regulatory or internal intelligence purposes. Lead and oversee AML related projects, ensuring end-to-end management from initiation, planning, and execution through to monitoring and closing. Provide project plans, status updates, and communication strategies.
Job Requirements
- 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 7-10 years in the financial services industry, including hands-on experience with AML systems and compliance, as well as at least 3 years in a project management or PMO role.
- Analytical Skills: Strong analytical, problem-solving, with the ability to think strategically and make data-driven decisions.
- AI/ML Knowledge: An understanding of AI/ML applications in compliance is a plus but not required.
- 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.
- Additional Preferences: Practical knowledge of automation tools like Robotic Process Automation (RPA) and familiarity with advanced analytics for AFC applications are advantageous.
Be a part of 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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