AVP / VP, Regulatory Reporting & Data Management Manager
Singapore
Sumitomo Mitsui Banking Corporation
三井住友銀行のホームページです。口座開設、住宅ローン、外貨預金、投資信託等の各種商品・サービスについて掲載しています。インターネットバンキングでは、残高照会や振込、外貨預金や投資信託のお取り引きの他、便利なWeb通帳もご利用いただけます。The incumbent will be responsible for driving the operationalization of data governance practices across APAC with a focus on the data elements critical to regulatory reporting, risk calculations, financial disclosures, and KYC/AML compliance. This includes ownership of governance for data used in MAS, BNM, APRA, BoT and other regulatory reports.
You need to have a strong combination of functional domain expertise (Risk, Finance, Regulatory Reporting, KYC/AML) and foundational technical understanding of data management, ETL, and governance tooling (such as Collibra). You will collaborate with reporting, risk, compliance, and finance teams across APAC countries to embed governance into data lifecycle processes and support data governance priorities.
Job Responsibilities
- Assist respective teams to identify and prioritize key data elements (KDEs) used in regulatory and risk reports (MAS, BNM, BOT, APRA, etc.).
- Partner with regulatory reporting teams to align data definitions and resolve data ownership or consistency issues.
- Perform data governance assessments on reports including IFRS9, Basel III, Liquidity, Credit Risk, and KYC/AML.
- Provide guidance to maintain the data element traceability from source to report using governance tooling.
- Interpret regulatory expectations from MAS, BNM, APRA, BOT, and BCBS 239 and translate them into data governance operationalization requirements.
- Collaborate with local and central compliance teams to ensure policy alignment and governance readiness for audits or inspections.
- Review and support remediation plans for regulatory reporting data gaps or inconsistencies.
- Support implementation of data governance operationalization across APAC countries with emphasis on embedding governance into risk and finance data flows.
- Assist in rollout of governance frameworks (ownership, data quality, KDE identification) in coordination with local regulatory projects.
- Drive discussions with business, IT and architecture teams to enable practical data governance for critical reporting processes.
- Support metadata enrichment and KDE cataloging in Collibra for risk and finance data elements.
- Work with tool specialists to capture lineage, ownership, and business definitions in Collibra.
- Ensure alignment of Collibra entries with actual data usage in Basel, IFRS 9, Liquidity, Large Exposure, etc.
- Act as the bridge between business (Risk, Finance, Compliance) and data governance/IT teams.
- Conduct workshops and training for data stewards and report owners on KDE, data ownership, and lineage practices.
- Drive resolution of functional data issues impacting reporting accuracy or compliance.
Job Requirements
- Bachelor’s degree in Finance, Risk, Business Management, Data Management, or related discipline.
- 5 to 7 years of experience in regulatory reporting, finance, risk, or KYC/AML roles in a banking or financial services environment (must have).
- Strong knowledge of key regulatory frameworks: BCBS 239, Basel II/ III, IFRS 9, MAS, BNM, BOT, APRA, etc.
- Understanding of end-to-end flow from source data to risk calculation to regulatory reporting submission.
- Familiarity with data governance concepts and operationalization (ownership, data quality, metadata, lineage).
- Experience working with data governance tools like Collibra (preferred) and basic understanding of data management platforms, ETL flows, or reporting tools (Vermeg, Moody’s, SAS).
- Excellent stakeholder engagement skills to drive alignment across business and IT teams.
- Strong documentation and communication skills to define business metadata and collaborate on reporting governance.
- Exposure to regulatory projects, audit reviews, or remediation initiatives is a plus.
- Certifications such as CDMP, Collibra, CIMP are advantageous.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Banking Credit risk Data governance Data management Data quality ETL Finance SAS
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