Data Quality Oversight
- Singapore
- Permanent
- Full-time
- Establish and oversee the data quality framework, including policies, standards, and controls for investment and reference data.
- Define and monitor key data quality metrics (completeness, accuracy, timeliness, consistency, validity) across multiple systems and processes.
- Identify data quality issues, perform root cause analysis, and partner with technology, operations, and business teams to design remediation strategies.
- Implement tools and processes for proactive data validation, reconciliation, and exception handling.
- Serve as the primary point of contact for data quality matters across internal stakeholders and external service providers.
- Partner with data owners, data stewards, and business teams to drive adoption of best practices in data governance and stewardship.
- Support regulatory and compliance requirements related to data accuracy, benchmark data, pricing data, and reporting standards.
- Collaborate with cross-functional teams to embed data quality into ongoing transformation programs, system migrations, and process redesign initiatives.
- Provide periodic reporting on data quality trends, risks, and remediation progress to senior stakeholders.
- Strong understanding of asset management industry processes, data flows, and operating models.
- Excellent problem-solving, analytical, and stakeholder management skills.
- Strong risk and control mindset with the ability to identify weaknesses and implement sustainable solutions.
- Detail-oriented, structured thinker with the ability to work across multiple initiatives simultaneously.
- Confident communicator, comfortable working with senior stakeholders and external service providers.
- Minimum of 12-15 years' experience in the Asset Management industry, with a focus on data management, data governance, or investment operations.
- Proven experience managing data quality frameworks across major asset classes, including equities, fixed income, and derivatives.
- Strong knowledge of reference data, benchmark/index data, pricing data, and market data management.
- Experience with data governance tools, data lineage, and data quality monitoring solutions.
- Familiarity with vendor platforms and industry utilities; experience with BlackRock Aladdin, Charles Rivers, Bloomberg or similar investment systems is an advantage.