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Federal Home Loan Bank of New York Tech Stack

Wholesale bank providing liquidity to community lenders across Northeast and Caribbean territories

Banking New York, NY 201–500 employees Founded 1932 Privately Held

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.

Tech Stack 24 technologies

Core StackOracle SQL Server Power Query Python AWS Workday ServiceNow Java Marketo Google Analytics VBA Qlik Sense Westlaw Microsoft Access Visual Basic Bloomberg UNIX Sybase Adaptive Planning Eloqua Oracle CX Sitecore

What Federal Home Loan Bank of New York Is Building

Challenges

  • Ensuring accuracy of operating expense accounts
  • Improving analytical reporting tools
  • Streamlining budgeting and forecasting
  • Implementing fhfa reporting requirements
  • Enhancing sec reporting processes
  • Ensuring internal controls over financial reporting
  • Aligning talent capabilities with business priorities

Active Projects

  • Iad quality assurance review
  • Maintenance of workday adaptive planning application
  • Upgrades to reporting and analytical software
  • Review of new projects in servicenow project module
  • Enhanced fhfa reporting implementation
  • Sec reporting policy development
  • Audit data preparation
  • Public website updates and enhancements
  • Digital campaign execution across email and web channels
  • Research and identify tech enhancements for marketing outreach

Hiring Activity

Steady7 roles · 2 in 30d

Department

Finance
3
Engineering
1
HR
1
Marketing
1
Technology
1

Seniority

Senior
4
Intern
1
Junior
1
Mid
1

Notable leadership hires: Development Lead

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About Federal Home Loan Bank of New York

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.

HeadquartersNew York, NY
Company Size201–500 employees
Founded1932

Frequently Asked Questions

What technology does Federal Home Loan Bank of New York use?

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.

What is Federal Home Loan Bank of New York working on?

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.

How this profile is built

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.