Educational Federal Credit Union is a 201–500-person nonprofit credit union headquartered in Miami, originally chartered in 1935 to serve Miami-Dade County Public Schools employees and students. The tech stack is almost entirely Microsoft-centric (Azure, Entra ID, Defender XDR, Purview, Sentinel) layered on Symitar core banking, with recent adoption of Monday.com and active exploration of OpenAI and Anthropic — indicating infrastructure modernization alongside AI-driven fraud and compliance tooling. Hiring velocity is accelerating across support (6 open roles) and ops (5), with concurrent projects in digital lending optimization and fraud-metrics dashboards, suggesting internal pressure on member engagement and fraud containment.
Educational Federal Credit Union is a Miami-based credit union serving employees, students, and families connected to Miami-Dade County Public Schools. Founded in 1935, the organization operates as a nonprofit financial cooperative with 201–500 staff members. The operational footprint spans member onboarding, digital lending, fraud detection and remediation, and compliance tracking across a multi-site remote workforce. Core technology runs on Symitar (the banking backbone) integrated with Microsoft cloud infrastructure (Azure, security, identity), while newer initiatives focus on modernizing member engagement channels and tightening fraud controls.
Primarily Microsoft ecosystem (Azure, Entra ID, Defender XDR, Sentinel, Purview) on Symitar core banking, plus RingCentral for comms, Proofpoint for email security, Verafin for fraud detection, and emerging adoption of OpenAI and Anthropic for AI workflows.
Digital lending platform optimization, fraud-metrics dashboards, member onboarding and engagement programs, system upgrades and migrations, compliance tracking centralization, and fraud-detection vendor integration to reduce loss and member impact.
Educational Federal Credit Union'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.