Risk Data & Model Governance, AVP

Purpose of the role:

This role is responsible for leading data governance and model/AI risk management initiatives to ensure robust control frameworks and regulatory compliance. The incumbent partners with cross-functional stakeholders to enhance data transparency, strengthen data quality, and implement effective model risk management practices.

What you will be doing:

Data Management

• Partner closely with cross-functional stakeholders to implement data lineage and establish a centralized data catalogue, enhancing transparency of data flows, data discoverability, and overall data quality management.

• Conduct periodic reviews of data governance frameworks, policies, and controls, and drive effective implementation across the bank.

• Review data quality scorecards, identify and prioritize key gaps, and monitor remediation progress to ensure timely and sustainable issue resolution.

Model / AI Risk Management

• Design, refine, and implement model risk management frameworks, including governance standards, policies, and control mechanisms.

• Collaborate with stakeholders to assess model materiality, perform governance reviews, and ensure alignment with Group standards and regulatory expectations.

Project & Stakeholder Management

• Lead data and model-related initiatives end-to-end, ensuring effective planning, execution, and timely delivery of key milestones.

• Track project progress, manage dependencies, and provide regular, concise updates to senior management.

Other Responsibilities

• Support additional initiatives and ad-hoc assignments related to Data and Model Risk Management functions as required.

What are we looking for:

• A degree holder in related disciplines

• At least 5 years of experience in data management space or banking industry

• Implementation experience in data / model risk management related projects of similar scope is preferable risk analytics or a related field

• Strong technical skills, preferably with programming languages such as SQLs, Python and or R

• Excellent analytical and problem-solving skills, with the ability to communicate with non-technical stakeholders

• A collaborative mindset, with the ability to work effectively with stakeholders across the organization