Automating Regulatory-Compliant Data Handling in Finance - A Case Study

Explore a 37-minute conference talk on implementing regulatory-compliant data management in the financial sector using Databricks. Learn how Raiffeisen Bank International developed a model approved by internal and national regulators in Central and Eastern Europe, following the need-to-know principle throughout the data lifecycle. Discover the "scope" concept for specifying data access rights and resource permissions within Databricks and AWS. Gain insights into the migration to Unity Catalog and the automation of scope-based data management models. Presented by Chandrabhan Singh, Machine Learning Engineer and Data Scientist at RBI AG, and George Moldovan from Product Management at Raiffeisen Bank International, this talk offers valuable knowledge for professionals dealing with sensitive data in finance and insurance.