Data Modeler

Core Skills & Experience Required

Teradata Data Modelling (Expert Level)

• 10+ years of Teradata Data Warehousing and Data Modelling experience
• Strong expertise in:

  • Logical Data Modelling

  • Physical Data Modelling
  • Enterprise-scale Data Warehouse implementations
• Advanced knowledge of:

  • Dimensional modelling

  • Normalized data modelling
  • Data governance frameworks
  • Metadata management
  • Data quality principles
• Ability to translate complex business requirements into scalable, enterprise-grade data models

CLDM (Communications Logical Data Model) - Expert Level

• Extensive experience implementing CLDM within banking environments
• Strong understanding of banking data domains, including:

  • Customer

  • Billing
  • Product
  • Network
  • Usage
  • CRM
• Proven experience:

  • Customising CLDM frameworks

  • Mapping banking source systems into CLDM structures
• Strong understanding of enterprise data integration standards within banking organisations

FSDM (Financial Services Data Model) - Expert Level

• Significant hands-on experience implementing FSDM solutions
• Deep knowledge of banking and financial services domains, including:

  • Accounts

  • Loans
  • Payments
  • Risk
  • Compliance
  • Regulatory Reporting
• Experience designing enterprise financial data models aligned with FSDM standards
• Strong understanding of:

  • Financial data governance

  • Data integration
  • Regulatory reporting requirements

Logical Data Modelling

• Expertise across:

  • Conceptual Data Models

  • Logical Data Models
  • Physical Data Models
• Strong experience with:

  • ER Modelling

  • Data Normalisation
  • Enterprise Information Architecture
• Hands-on experience using modelling tools such as:

  • ERwin Data Modeler

• Ability to establish:

  • Data standards

  • Naming conventions
  • Governance frameworks

Industry Experience

Banking Domain

• Strong banking industry experience preferred
• Knowledge of:

  • Banking KPIs

  • Customer lifecycle management
  • Usage and behavioural analytics
• Experience across both:

  • Operational banking systems

  • Analytical/reporting platforms

Financial Services Domain

• Strong financial services industry background preferred
• Understanding of:

  • Core banking platforms

  • Enterprise banking systems
  • Regulatory frameworks
• Experience supporting:

  • Compliance initiatives

  • Data analytics programmes
  • Financial and regulatory reporting

Data Governance & Data Quality

• Experience implementing Data Governance frameworks
• Strong understanding of:

  • Data Quality Management

  • Data Lineage
  • Metadata Management
  • Regulatory and Compliance standards
• Ability to drive enterprise data management best practices