Community bank modernizing operations and risk management infrastructure
Cambridge Savings Bank is a 190-year-old mutual bank with $7 billion in assets modernizing its operational backbone. The tech stack reveals heavy investment in data governance (Collibra, Alation, Atlan, Apache Atlas, Purview) and process automation (UiPath, OnBase, Talend), paired with core banking platforms (Fiserv, nCino, ICE Mortgage Technology). Active hiring skews toward finance and operations roles, with data and engineering support lagging—a pattern consistent with their project focus: risk taxonomy development, financial reporting automation, and vendor management standardization.
Cambridge Savings Bank operates as a mutual institution serving individuals, small businesses, and commercial clients across Massachusetts. With nearly 200 years of history, the bank offers consumer banking, commercial lending, mortgages, and wealth management services through branch and digital channels. The organization maintains $7 billion in assets and operates with 201–500 employees. Current operational priorities center on risk management, process standardization, and transaction reconciliation—areas where the bank is investing in automation and data governance tooling to support continued growth.
Core platforms include Fiserv (banking), nCino (lending), and ICE Mortgage Technology, alongside data governance tools (Collibra, Alation, Atlan), automation (UiPath), analytics (Tableau, Power BI), and Microsoft infrastructure (Azure, SQL Server, Active Directory).
Key projects include Zelle risk mitigation, data stewardship operating model development, financial reporting automation, risk taxonomy and KPI frameworks, and vendor management standardization.
Cambridge Savings 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.