UOB
Banking
VP,AI&DataRiskGovernance
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“VP, AI & Data Risk Governance at UOB. Skills: AI & Data Risk Governance, Data & AI Governance strategy, framework and policy, Data & AI risk assessments and validations, Data quality initiatives, Data science techniques, Machine learning, Statistical means. Drive the adoption of the UOB Group-wide Data & AI Governance strategy, framework and policy. Integrate Data & AI governance practices into the bank's ecosystem”
What You'll Achieve.
Ensure AI systems used by the bank are secure, fair, explainable, and well-governed throughout their lifecycle; Ensure that the data & AI assets across the Bank are clearly defined, owned, stewarded, distributed, consumed and risk managed
Industry & Context.
Root cause analysis; Identifying and quantifying data quality problems; Resolving data management issues
What They're Looking For.
Must Have
Bachelor's/Master's Degree in Information Technology, Business Computing, Data Science or related disciplines, 10-12 years of working experience in the banking industry, or consulting industry with exposure to Financial Services, Extensive knowledge and understanding of Data & AI Governance discipline, strategy and policy planning, especially related to financial industry best practices and across the regulatory landscape, Good understanding of data management and related disciplines, such as data management lifecycle, data architecture, data quality and metadata
Nice to Have
Experience in testing AI models and technologies, Cloud platform certifications
What You'll Do.
Drive the adoption of the UOB Group-wide Data & AI Governance strategy
Integrate Data & AI governance practices into the bank's ecosystem
Participate in Data & AI risk assessments and validations
Lead and participate in cross-functional data quality initiatives
Guide a team of functional and technical data quality analysts
Provide guidance and expertise in the understanding of business-data requirements
design of data quality checks
root cause analysis and design of data quality measurement scorecards
Identify and quantify data quality problems
Resolve data management issues over the data lifecycle
Drive application of innovative methods such as data science techniques
machine learning or other statistical means in proactively managing data quality risks
Inculcate data governance culture and discipline
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams, including business data users and data scientists, technology, risk, legal and compliance; Collaborate with data producers and consumers across the Bank
Communication Scope
Excellent written / oral communication skills
Process & Methodology
Excellent project management and facilitation skills
Full 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** UOB's AI & Data Risk Governance & Control is a centralized function under Group Risk Management dedicated to set out a Line 2 operating capability to oversee AI and data risks enterprise-wide with a mandate to ensure AI systems used by the bank are secure, fair, explainable, and well-governed throughout their lifecycle. This role is a key member of the AI & Data Risk Governance team and will actively drive and participate in data & AI related risk management initiatives * Actively drive the adoption of the UOB Group-wide Data & AI Governance strategy, framework and policy, incorporating best practices and industry standards across different jurisdictions where the Bank operates. The framework should ensure that the data & AI assets across the Bank are clearly defined, owned, stewarded, distributed, consumed and risk managed in accordance with the Bank’s applicable policies, principles and standards * Collaborate with cross-functional teams, including business data users and data scientists, technology, risk, legal and compliance, to integrate Data & AI governance practices into the bank's ecosystem * Actively participate in Data & AI risk assessments and validations, covering the risk management spectrum of Data & AI lifecycle * Lead and parti
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