Case Study: Large Global Bank doubles data science productivity and secures electronic trading data with Immuta

Large Global Bank Uses Data Controls for Electronic Trading Analytics

Large Global Bank, a universal bank with a large broker-dealer business, faced the challenge of protecting sensitive client trading data and preventing conflicts of interest across human and machine execution channels while meeting strict regulatory and contractual requirements. To address this, the bank enlisted Immuta (the automated data governance company), using capabilities such as Immuta Projects, dynamic attribute- and purpose-based access controls, time-based controls, row-level redaction, and unified audit logging.

Immuta implemented controlled workspaces to segregate principal and agency analytics, applied dynamic anonymization and time-based protections to client execution data, and provided audit logs and automated reports to prove compliance. As a result, the bank combined previously separate data science teams (reducing costs), doubled data science productivity (100% increase), sped licensing and audit processes from weeks to hours, and strengthened client-data protections that helped win additional institutional mandates.