Key Responsibilities
:
Data Modelling & Structuring (Gold Layer Architecture)
• Design and structure datasets to ensure business readiness.
• Define data relationships across multiple sources.
• Optimize data models for performance, governance, and reporting.
• Create views and transformations to standardize data models.
• Collaborate with the internal data engineering team to align transformations with consumer requirements.
• Partner with Data Analysts and BI Analysts to validate data structures and support analytics.
• Ensure efficient query performance (partitioning, indexing, data structures).
• Work with governance teams to define dataset permissions and access rules.
About You:
• 6-10 years of experience in fund administration, asset management, or financial services.
• Strong expertise designing structured financial datasets for analytics and reporting.
• Experience working with cloud-based data platforms and SQL-based data modelling.
• Ability to translate business needs into structured data models.
• Familiarity with governance and compliance frameworks for financial data.
Technical Qualifications
Required Skills
• Advanced SQL - Ability to build complex data models.
• Data Modelling - Strong expertise in structuring datasets.
• ETL & Data Transformation - Experience optimizing data for Gold Layer reporting.
• Python (Optional) - Nice-to-have for advanced data manipulation.
• Experience optimizing financial data for query performance and analytics.
• Ability to translate business needs into structured data models.