Mortgage securitization platform for Fannie Mae and Freddie Mac
U.S. FinTech operates the securitization infrastructure for government-sponsored mortgage programs, managing the issuance and administration of mortgage-backed securities at scale. The tech stack—AWS, Snowflake, Databricks, Python, LangChain—sits atop legacy database systems (SQL Server, Oracle, RDS), and the project backlog reveals a company in active modernization: LLM/agentic workflows, real-time data integration, and enterprise-scale analytics are live alongside foundational work on cyber security architecture and system reliability. Hiring skews toward compliance and security leadership (6 of 11 active roles) while engineering remains selective, suggesting the company is treating regulatory and operational risk as primary constraints.
Notable leadership hires: Governance Risk Compliance Lead
U.S. Financial Technology manages mortgage securitization for Fannie Mae and Freddie Mac, serving as the operational backbone that returns liquidity to the primary mortgage lending market. Founded in 2014 and based in Bethesda, Maryland, the company operates within a regulated financial services environment where loan sales, pooling, and securities administration touch thousands of transactions daily. With 201–500 employees, the organization runs on a hybrid stack—legacy databases (SQL Server, Oracle) for transactional systems paired with modern cloud infrastructure (AWS, Snowflake, Databricks) for analytics and reporting. Current execution priorities center on cyber security maturity, compliance automation, and reducing data discrepancies across systems.
AWS, Snowflake, Databricks, Python, SQL Server, Oracle, AWS RDS, and LangChain. The company is currently implementing LLM and agentic AI workflows alongside real-time data integration.
Yes. Security and compliance roles account for 6 of 11 active positions, including a Governance Risk Compliance Lead and cyber security architecture specialists. Hiring is concentrated in the United States.
Core projects include cyber security architecture implementation, real-time data integration between transaction and analytics systems, LLM/agentic AI workflows, system health monitoring, and remediation of audit findings.
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