Enterprise Data Modeller

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore seeks an experienced Enterprise Data Modeller to design and optimize conceptual, logical and physical data models for banking and regulatory reporting. You will translate complex source systems into standardized enterprise models, work with governance and metadata, and collaborate with global teams and stakeholders across technology and business.

ER/Studio experience is highly desirable and you will help shape data architecture to meet evolving regulatory

Qualifications

• 6-8 years of enterprise data modelling experience, preferably within banking or financial services.
• Strong hands-on experience developing conceptual, logical, and physical data models.
• Demonstrated experience modelling data within finance, risk, regulatory reporting, or related banking domains.
• Strong understanding of banking data structures, business concepts, and data relationships.
• Experience working with enterprise data modelling tools; ER/Studio experience is highly desirable.
• Exposure to industry-standard banking or financial services data models and the ability to adapt industry models to enterprise requirements.
• Experience supporting regulatory reporting and translating regulatory or reporting requirements into data models.
• Knowledge of enterprise data architecture, data governance, metadata management, data lineage, and data quality principles.
• Ability to analyse complex source systems and datasets and translate them into standardised enterprise models.
• Strong stakeholder management and communication skills, with the ability to work effectively across business and technology teams.
• Experience working in large, complex, global organisations and across geographically distributed teams.

Skills

Data modeling

Data architecture

Regulatory reporting

Stakeholder management

Data governance

Data lineage

Data quality

Communication

Tools

ER/Studio

Job description

We are looking for a highly skilled and experienced Enterprise Data Modeller to join our team in Singapore. The ideal candidate will have a strong background in data modeling, database design, and analytics with a proven track record of enhancing data architecture to meet business needs.

What You'll Do:

Required Experience and Skills

• 6-8 years of enterprise data modelling experience, preferably within banking or financial services.
• Strong hands-on experience developing conceptual, logical, and physical data models.
• Demonstrated experience modelling data within finance, risk, regulatory reporting, or related banking domains.
• Strong understanding of banking data structures, business concepts, and data relationships.
• Experience working with enterprise data modelling tools; ER/Studio experience is highly desirable.
• Exposure to industry-standard banking or financial services data models and the ability to adapt industry models to enterprise requirements.
• Experience supporting regulatory reporting and translating regulatory or reporting requirements into data models.
• Knowledge of enterprise data architecture, data governance, metadata management, data lineage, and data quality principles.
• Ability to analyse complex source systems and datasets and translate them into standardised enterprise models.
• Strong stakeholder management and communication skills, with the ability to work effectively across business and technology teams.
• Experience working in large, complex, global organisations and across geographically distributed teams.

Preferred Qualifications

• Experience with banking regulatory reporting frameworks, including exposure to MAS610.
• Experience establishing or implementing enterprise-wide data modelling standards and governance.
• Experience with Silver-layer, curated, canonical, or enterprise data models within modern data platforms.
• Familiarity with data warehouse, data lake, lakehouse, and analytical data architectures.
• Exposure to large-scale banking data transformation or regulatory change programmes.
• Experience contributing to global data architecture or data management initiatives.
• Enterprise and strategic thinking
• Strong analytical and data modelling capability
• Banking, finance, and risk domain knowledge
• Attention to detail and data quality
• Stakeholder engagement and facilitationAbility to simplify complex data requirements
• Strong documentation and governance discipline
• Collaborative approach across global and cross-functional teams