United Oversea Bank - UOB ★ 3.2

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, Thailand and Vietnam, 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
Strategic leadership:
• Provide strategic advice where required on industry leading practices on the adoption and use of AFC analytics and automation solutions
• Define minimum standards on model performance and development methodology (applicable during model development and validation) - this will include qualitative and quantitative standards, as well as a compendium of regulatory requirements as they pertain to model performance
Model validation:
• Independently validate requirements and use cases based upon regulatory requirements.
• Check and challenge all steps of the model creation, data usage and value to the business.
• Take stock of all relevant AML/AFC models (ML and otherwise) to be validated and establish a validation calendar
• Be involved in the ongoing enhancement of model governance policies and processes at the bank by providing relevant inputs, including on model testing, model sign-offs, model bias assessments and approaches, and model compliance with applicable ethics standards
• Keep up to date with changes to regulatory requirements and update minimum standards of model development as needed
Senior Management Engagement:
• Prepare independent reports on performance of AFC models to senior management on a regular basis
• Provide validation reports/summaries and be involved in direct discussions with regulators when required
• Remain involved in the review panel for any new models developed by the Modelling team/other teams
Team and Capacity Management:
• Manage the validation team, including defining individual roles and responsibilities; hiring; promotions; performance reviews etc.
• Provide direction and guidance to the validation team as an analytics subject-matter expert as well as an AFC risk & regulatory expert
• Manage the day-to-day functioning of the validation team, including planning resources, preparing budgets, identifying any enhancements needed on systems and tools used in model validation and monitoring etc.

Job Requirements
• 7-10 years of technology/analytics experience
• 3+ years experience working with advanced analytical models/tools/applications (e.g., machine learning)
• Good understanding and knowledge of regulatory recommendations and industry standards related to AML/AFC/ compliance risks
• Experience in or familiarity with analytics related to AML/AFC/ compliance risks
• Demonstrable experience in managing high-performing teams with hybrid capabilities
• Ability to clearly communicate complex results in an easy-to-understand manner and tailoring them to different audiences
• Ability to handle multiple priorities and manage teams
• Bachelor's degree, or equivalent, in Computer Science, Engineering, Statistics, Mathematics, Business etc.
Technical Skills:
• R and/or Python for data science, with practical knowledge of data wrangling and machine learning libraries (e.g., Pandas, Keras, Tensorflow, Sklearn)
• Comfortable working with structured and unstructured data and distributed databases
• Familiar with best practice development and validation standards
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.
Apply now careers.uobgroup.com/ and make a difference.

Thưởng
Annual Salary Review & Performance Bonus
Chăm sóc sức khoẻ
Healthcare Insurance Policy; Annual Health Check-Up Program
Khác
Staff Housing Loan Policy (Mortgage); Tenure Policy (Long-service award); Annual Paid Leave, etc.