Enterprise Data Modeller

Position Overview

We are seeking a seasoned Enterprise Data Modeller to join our team in Singapore. The successful candidate will possess extensive expertise in data modelling, database design, and analytics with a focus on enhancing data architecture to align with business objectives.

Key Responsibilities and Experience

• Possess 6 to 8 years of experience in enterprise data modelling, ideally within the banking or financial sectors.
• Develop conceptual, logical, and physical data models with strong hands-on ability.
• Model data specifically related to finance, risk, regulatory reporting, or associated banking domains.
• Have a deep understanding of banking data structures, business concepts, and how data elements interrelate.
• Utilize enterprise data modelling tools, with a preference for ER/Studio expertise.
• Adapt industry-standard banking and financial services data models to meet enterprise requirements.
• Support regulatory reporting efforts by translating compliance and reporting needs into effective data models.
• Demonstrate knowledge of enterprise data framework components including architecture, governance, metadata, lineage, and data quality management.
• Analyze complex source systems and datasets to standardize enterprise-wide data representations.
• Effectively communicate and manage relations with stakeholders across business and technical teams.
• Work proficiently within large, complex, and geographically diverse global organizations.

Preferred Qualifications

• Familiarity with banking regulatory reporting structures such as MAS610.
• Experience in setting up and enforcing enterprise data modelling standards and governance frameworks.
• Hands-on knowledge with curated, canonical, or silver-layer enterprise data models in modern data platforms.
• Understanding of data warehouse, data lake, lakehouse, and analytical data architectures.
• Participation in large-scale banking data transformation and regulatory change projects.
• Contribution to worldwide data architecture and data management programs.

Core Competencies

• Strategic enterprise-level thinking.
• Strong analytical skills related to data modelling.
• Expertise in banking, finance, and risk domains.
• Meticulous attention to data quality and detail.
• Skilled in engaging and facilitating stakeholders.
• Ability to distill complex data requirements into understandable terms.
• Strong documentation practices and governance adherence.
• Collaborative mindset for working with global, cross-functional teams.