About the role
AI summarisedThe Data and AI Risk role within the Risk Management Group is responsible for developing and maintaining a comprehensive risk management framework for all Data and AI initiatives across the bank, ensuring strict alignment with regulatory requirements and industry best practices.
BankingOnsite
Key Responsibilities
- Develop and maintain a comprehensive risk management framework for Data and AI initiatives across the bank, ensuring alignment with regulatory requirements and industry best practices.
- Identify, assess, mitigate, and monitor risks related to data governance, data security, data architecture, AI governance, algorithmic bias, and AI explainability.
- Develop and implement Data and AI Risk Management Policies and Standards on a Groupwide basis.
- Provide risk-based recommendations and challenge new Data and AI initiatives to ensure appropriate controls are in place before deployment.
- Conduct regular risk assessments and reviews of existing Data and AI systems and processes, recommending improvements to strengthen controls.
- Serve as Line 2 advisor to Line 1 Business Units/Support Units on Data and AI related queries and concerns.
- Contribute to the development and implementation of the bank's overall risk appetite for Data and AI.
- Prepare and present regular reports to senior management on Data and AI risk issues and mitigation strategies.
Requirements
- Must have experience in risk management within a regulated financial institution.
- Deep understanding of Data Governance, Data Security, and Data Architecture risks.
- Proven ability to manage risks specific to Artificial Intelligence (AI) initiatives.
- Knowledge of AI governance frameworks, including algorithmic bias and explainability.
- Ability to develop and enforce risk management policies at a Groupwide level.
- Strong understanding of regulatory developments impacting Data and AI in banking.