Data Modeler

• Design and maintain up-to-date versions of conceptual, logical and physical data models for advanced analytics and reporting for fraud risk management.

• Define appropriate partition strategy for efficient query response of tables with almost billion rows of data.

• Ensure the data model complies with data modeling standards and data governance standards followed by the Bank.

• Collaborate with data scientists to ensure the data model supports feature engineering of ML models to detect frauds in transactions.

• Guide ETL and report development team, if required, with the optimal query paths for accessing data.

• Ensure the data model has capability to trace the lineage of data attributes from source to target.

• Ensure the data model design supports auditing of data saved in the tables.

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