VP, Data Risk, Risk Management Group

Business Function

Risk Management Group (RMG) is responsible for the development and maintenance of risk management and internal control frameworks. We provide independent review and challenge to the business to ensure that appropriate balance is considered in risk/return decisions. In addition, RMG is responsible for the monitoring and reporting on key risk issues of the Bank. To manage risk effectively and deliver strong financial performance, we invest significantly in people and infrastructure.

The role is within the Data and AI Risk team in RMG and will be responsible for developing and maintaining a comprehensive risk management framework for Data and AI initiatives across the bank, ensuring alignment with regulatory requirements and industry best practices.

Responsibilities:

• Reviews Data risks and control effectiveness across the Group
• Perform independent Line 2 reviews for data risks and control effectiveness
• Conduct regular risk assessments and reviews of existing Data systems and processes, identifying vulnerabilities and recommending improvements to strengthen controls and reduce risk. Including the reviews of data quality monitoring processes, assessment of data KRIs to ensure potential risks are addressed.
• Report review findings to management and committees
• Contribute to the overall data risk landscape assessment for the Group
• Track remediation of identified data issues from Line 2 reviews and ensure action plans are adequate
• Work closely with Data Risk team members in Group and locations to keep abreast of emerging data risk issues
• Support articulation of data risk issues, incidents, and control gaps
• Contribute and participate in data governance projects where required
• Participate in industry forums and share best practices to stay abreast of emerging trends in Data risk management.

Requirements:

• Experience (8+ years) in risk management or audit, with a strong focus on Data risk.
• Keen awareness of risk and control concepts and experience in performing control testing
• Strong knowledge of relevant regulations and industry best practices related to Data risk management frameworks.
• Excellent communication, presentation, and interpersonal skills
• Strong report writing skills, with ability to articulate key issue findings, risk impact and root cause analysis
• Strong analytical and problem-solving skills, with the ability to identify and assess risks effectively.
• Bachelor's degree in a relevant field (e.g., Accounting, Banking, Computer Science, Engineering, Mathematics, Statistics). Relevant certifications such as DCAM (Data Management Capability Assessment Model, other Data Governance related certifications are preferred.

Location:

Job:

Schedule:

Employee Status: