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AVP, Lead Analyst, Responsible AI Governance, GDMO
AVP, Lead Analyst, Responsible AI Governance, GDMO
The AVP, Lead Analyst, Responsible AI Governance, GDMO will implement policies and procedures for the responsible use of Artificial Intelligence and Data Analytics (AIDA) within OCBC Group. This role involves setting enterprise-wide standards, engaging stakeholders for validation, providing assurance on compliance with responsible AI principles, and supporting relevant committees.
About the role
Role Summary
As the lead analyst for Responsible AI Governance, the candidate can expect to work with a dynamic team to implement policies and procedures that govern the responsible use of AIDA in the Group.
Key Responsibilities
- Setting enterprise-wide policies that articulate the standards and controls to enable the Group’s meeting of the FEAT (Fairness, Ethics, Accountability, Transparency) principles, and other prevailing requirements from regulators.
- Engaging relevant stakeholders in the validation and enforcement of the standards and controls in line with industry best practices.
- Working with the Lead for Responsible AI Governance in providing reasonable assurance to senior management on the Group’s compliance with responsible AI principles, taking into consideration the control and business objectives.
- Providing support for the secretariat of the top-of-house management committee responsible for oversight of the Group’s compliance with FEAT principles, to ensure that the committee serves its purpose effectively.
- Being involved in discussions with industry peers and regulators on the responsible use of AIDA through industry-wide forums, with a view of adopting them within the Group.
Job Qualifications
We are looking for Candidates with experience either in the development of AIDA systems or its governance, preferably in the banking or finance industry.
The Ideal Candidate Would Meet The Following Requirements
- 6-8 years of related working experience. Candidates with experience in model governance and/or its independent validation will be viewed favourably.
- Good university degree in a STEM discipline, with a strong ability of handling data and performing quantitative analysis.
- Excellent communication and stakeholder management skills.
- Independent, creative with a pro-active problem-solving mindset.
- High level of initiative and commitment to work either independently or as part of a team.