Regional bank with $23B in assets serving individuals, businesses, and international clients
Cathay Bank operates a $23.1B regional bank serving California and nine other states, with international presence in Hong Kong and representative offices across Greater China. The tech stack reveals a compliance-heavy, data-intensive operation: SAP, Oracle PeopleSoft, Pega (workflow/decisioning), and a full data analytics tier (Informatica, Collibra, QlikView, Tableau, Power BI). Active hiring clusters in finance (regulatory reporting, stress testing) and sales (relationship management), with no visible adopting/replacing signals—suggesting a mature, maintenance-focused technology posture typical of regional banks navigating regulatory constraints.
Cathay Bank is a public regional bank founded in 1962 and headquartered in Los Angeles. It operates as a subsidiary of Cathay General Bancorp (NASDAQ: CATY) with $23.1B in assets as of end-2024. The bank serves three main segments: individual retail (savings, loans, wealth management), commercial and business banking (lending, treasury management, foreign exchange), and international banking. The branch footprint spans 60+ locations across California, New York, Washington, Illinois, Texas, Maryland, Massachusetts, Nevada, and New Jersey, with additional operations in Hong Kong and representative offices in Beijing, Shanghai, and Taipei.
Cathay Bank held $23.1 billion in assets as of December 31, 2024, per its parent company Cathay General Bancorp.
Cathay Bank operates over 60 branches across nine U.S. states (California, New York, Washington, Illinois, Texas, Maryland, Massachusetts, Nevada, New Jersey) plus a Hong Kong branch and representative offices in Beijing, Shanghai, and Taipei.
Core systems include SAP, Oracle PeopleSoft, Pega (workflow/decisioning), Salesforce (CRM), MuleSoft (integration), and data analytics tools (Informatica, Collibra, Tableau, Power BI, QlikView). SWIFT handles international payments; SSRS and SAP BusinessObjects support reporting.
Cathay Bank's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.