Cooperative wholesale lender funding member banks across a 13-state district
FHLB Des Moines is a member-owned cooperative that supplies liquidity to lenders across 13 states and three Pacific territories. Its stack pairs capital-markets tooling (Bloomberg, Tradeweb, SimCorp Dimension) with a Java/Angular engineering core and a Microsoft BI layer, and runs across Azure, AWS and GCP. Finance-heavy hiring, plus job-post focus on SOX 404, audit testing and mortgage credit risk, points to an organization investing in control rigor and mortgage portfolio oversight.
Federal Home Loan Bank of Des Moines is a financial cooperative headquartered in Des Moines, Iowa, founded in 1932. It partners with hundreds of member lenders, providing funding that supports stability in the U.S. financial system and lending in local communities. Its district covers 13 states and 3 U.S. Pacific Territories. The bank employs 201–500 people and hires within the United States, with recruiting spanning finance, engineering, security, operations, data and compliance functions.
Java, Angular, TypeScript and Hibernate for applications; Bloomberg, Tradeweb and SimCorp Dimension for capital markets; SQL Server, SSIS and Power BI for data; Azure, AWS, GCP and Terraform for infrastructure.
Yes, hiring is steady and U.S.-based, led by finance roles with notable demand in engineering and security, plus a large intern intake alongside senior-level positions.
Job posts point to enhancing SOX 404 processes, financial and operational audit testing, building audit software, mortgage risk exception reporting and managing loss mitigation and MPP claims processes.
Other companies in the same industry, closest in size
Federal Home Loan Bank of Des Moines'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.