Regulatory Reporting & Data Management (Data Governance)

Roles & Responsibilities

The role involves leading the implementation of data governance practices, focusing on critical data elements essential for regulatory reporting, risk assessment, financial disclosures, and KYC / AML compliance. The position includes accountability for governing data used in reports submitted to regulators such as MAS, BNM, APRA, BoT, and others.

This position requires a strong blend of domain expertise in Risk, Finance, Regulatory Reporting, and KYC / AML, combined with a solid technical foundation in data management, ETL processes, and governance platforms like Collibra.

Key Responsibilities

• Support teams in identifying and prioritizing key data elements (KDEs) critical to regulatory and risk reporting (e.g., MAS, BNM, BoT, APRA).
• Collaborate with regulatory reporting teams to harmonize data definitions and resolve ownership or consistency issues.
• Conduct data governance assessments on reports related to IFRS9, Basel III, Liquidity, Credit Risk, and KYC / AML.
• Guide the maintenance of data element traceability from source systems to reporting outputs using governance tools.
• Interpret regulatory requirements from MAS, BNM, APRA, BoT, BCBS 239, and translate them into actionable data governance operations.
• Work with compliance teams to ensure policies align and prepare for audits or inspections.
• Review and assist in remediation of data gaps or inconsistencies in regulatory reporting.
• Facilitate rollout of data governance frameworks, including ownership models, data quality standards, and KDE identification across APAC.
• Engage business, IT, and architecture stakeholders to implement effective governance for critical reporting workflows.
• Support metadata enrichment and key data element cataloging within Collibra for risk and finance datasets.
• Collaborate with tool specialists to manage lineage, ownership, and business definitions in governance platforms.
• Ensure alignment between metadata repositories and actual data usage for regulatory frameworks like Basel, IFRS 9, Liquidity, Large Exposure, etc.
• Act as liaison between business units (Risk, Finance, Compliance) and data governance / IT teams.
• Conduct training sessions and workshops for data stewards and report owners on KDE management, data ownership, and lineage.
• Drive resolution of data-related issues impacting reporting accuracy or regulatory compliance.

Qualifications & Experience

Tell employers what skills you have

IFRS

Management Skills

Governance, risk and compliance

Regulatory Compliance

governance framework

Data Management

Data Quality

Data Governance

Metadata

Regulatory Requirements

governance policies

Stakeholder Management

Regulatory Reporting

regulatory frameworks

Financial Services

Data