Specialty finance REIT investing in residential mortgage assets and securities
Redwood Trust is a publicly traded REIT (NYSE: RWT) focused on credit-sensitive mortgage investments and mortgage banking. The tech stack is heavily Azure-dependent—spanning compute, storage, identity, and AI services—paired with Power BI and Salesforce for front-office visibility. Active projects center on cash forecasting, treasury reporting, and BI pipeline automation, while pain points cluster around data governance, reporting accuracy, and loan sale execution—indicating the finance and data teams are building toward more reliable, automated decision support across a legacy structured-finance operation.
Redwood Trust is a specialty finance company and internally managed REIT established in 1994, headquartered in Mill Valley, California. The firm makes credit-sensitive investments in residential loans and mortgage-related assets, generating revenue through both portfolio performance and residential mortgage banking operations. With 51–200 employees and a public listing, the company operates as a regulated financial institution. Current hiring is concentrated in finance and data roles, signaling investment in analytics and reporting infrastructure to support capital allocation and risk management at scale.
Redwood Trust runs primarily on Microsoft Azure, with infrastructure spanning compute (App Service, Functions), storage, networking (Private Link, Virtual Networks), identity (Entra ID, RBAC), monitoring (Log Analytics, Application Insights), and AI services (Azure AI Foundry, Cognitive Services, Document Intelligence).
Power BI and Microsoft Fabric form the core BI stack, supplemented by Anaplan for financial planning and Salesforce for business operations. Recent projects focus on CI/CD automation for Fabric and Power BI assets and enterprise-wide cloud BI architecture.
Redwood Trust, Inc.'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.