Editorial summary

The company is seeking a Data Modeler in the Banking Industry to design, develop, and maintain conceptual, logical, and physical data models that align with business and technology requirements. The role involves translating business needs into effective models, ensuring data accuracy, consistency, and integrity, and collaborating with business stakeholders, data architects, and engineering teams to support enterprise data initiatives. Key requirements include strong data modeling skills and proficiency in SQL, Python, and common data formats, with experience supporting Cash/Transaction Banking and/or Lending domains. The salary is 10,400.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/data-modeler-banking-industry-38275 first appeared in Job-Q.com on 16 Oct 2026]

Responsibilities:

• Design, develop and maintain conceptual, logical and physical data models to support business and technology requirements
• Translate business requirements into effective data models, ensuring data accuracy, consistency and integrity
• Collaborate with business stakeholders, data architects and engineering teams to support enterprise data initiatives
• Support data modelling activities for Cash / Transaction Banking and/or Lending business domains
• Utilize SQL, Python and common data formats to support data analysis, integration and process automation

Requirements:

• Strong understanding of data architecture and hands-on experience in conceptual, logical and physical data modelling
• Good knowledge of enterprise data platforms, databases and underlying data structures
• Experience in analyzing business requirements and translating them into effective data models and designs
• Banking domain experience in Cash / Transaction Banking and ideally Lending
• Familiarity with SQL and structured/semi-structured data formats such as XML, JSON and CSV
• Python skills for data analysis and automation, with strong stakeholder management and communication skills across business and technology teams

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