About The Position

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 enterprise-wide AI and data risks with a mandate to ensure AI models, systems and processes in the Bank are secure, fair, explainable, and well-governed throughout their lifecycle. Role Overview This role supports activities to manage AI and data related risks across the organization effectively and responsibly. You will play a key role in performing FEAT (Fairness, Ethics, Accountability, Transparency) Validation, as well as operationalization of data and AI governance across the Bank. This role will support the enforcement of FEAT and broader AI governance standards for high-risk use cases, ensuring safety, regulatory compliance, resilience, and ethical conduct in alignment with regulatory expectations and industry best practices

Requirements

  • Minimum 5–7 years of experience in data science, statistics, AI or responsible AI, AI & data governance, or related fields, preferably in banking or financial services
  • Extensive knowledge and understanding of Data & AI Governance discipline, especially on financial industry best practices and across the regulatory landscape
  • Awareness of MAS FEAT principles, Veritas Assessment Methodology and interest in Responsible and ethical AI practices
  • Good project management and facilitation skills, with the ability to manage different stakeholders across the Bank and to navigate through conflicts with ease
  • Demonstrated ability as team player and running initiatives independently
  • Good written / oral communication skills with strong interpersonal skills

Nice To Haves

  • Ethics, legal, compliance, audit, model validation experience is a plus
  • Certifications or academic background in AI ethics/responsible AI, AI governance, model risk management, data privacy (e.g., PDPA) and ethics, and/or data governance

Responsibilities

  • Perform the assessment and validation of high-risk AI models leveraging Veritas (framework developed under regulatory and industry collaboration to help financial institutions assess AI models against FEAT principles) Assessment Methodology, including utilization of related Veritas templates and toolkits
  • Conduct the inventorisation of AI models within the Bank, involving co-ordination with model owners, collating AI model parameters and independently challenging and reviewing the inventory information
  • Review the Business/Support Unit’s self-attestation on FEAT compliance for the models they own
  • Support the development and maintenance of FEAT related guidelines and procedures
  • Support the operationalization activities of Data Governance e.g. cross border data-sharing etc
  • Promote education and develop training, awareness and adoption program of AI and Data Governance disciplines and objectives across the Group

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service