Wholesale bank providing liquidity to community lenders across Northeast and Caribbean territories
FHLBNY is a wholesale financial institution serving community lenders in New York, New Jersey, Puerto Rico, and the U.S. Virgin Islands. The tech stack reveals a heavily legacy-anchored infrastructure (Oracle, SQL Server, VBA, Visual Basic, Sybase, UNIX) paired with modern cloud (AWS) and workflow tools (Workday, ServiceNow), typical of regulated financial institutions managing compliance and reporting at scale. Active projects center on regulatory reporting (FHFA, SEC), analytics upgrades, and marketing automation—suggesting ongoing efforts to modernize reporting pipelines while expanding member outreach.
Notable leadership hires: Development Lead
FHLBNY is a privately-held wholesale bank chartered by Congress in 1932 to provide liquidity to community-based lenders. The institution serves commercial banks, savings banks, credit unions, insurance companies, and community development financial institutions across a four-region footprint: New York, New Jersey, Puerto Rico, and the U.S. Virgin Islands. All credit products are secured by real estate collateral. The organization operates with approximately 201–500 employees and focuses on enabling member lenders to extend affordable housing, small business, and community development credit to their markets. Operations span finance, technology, engineering, HR, and marketing functions.
FHLBNY runs Oracle, SQL Server, and Sybase databases alongside AWS cloud infrastructure. Workflow and reporting tools include Workday, ServiceNow, Qlik Sense, and Adaptive Planning. Legacy components (VBA, Visual Basic, Microsoft Access) remain in active use for analytics and business logic.
Current projects focus on regulatory compliance (FHFA and SEC reporting implementation), analytics upgrades, Workday and ServiceNow platform maintenance, internal audit processes, website modernization, and digital marketing campaigns targeting member lenders.
Federal Home Loan Bank of New York'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.