Mortgage liquidity and housing finance platform serving U.S. homebuyers and renters
Freddie Mac operates a large-scale mortgage finance platform running on a hybrid AWS + on-prem stack (Java, Python, Spark, Snowflake, Workday, ServiceNow). Active hiring across finance, engineering, and data signals a push toward AI and automation: the project list is heavy on agentic workflows, gen AI agents, and model development (credit risk, property valuation, loss forecasting), while pain points cluster around risk governance and model monitoring—typical friction points when scaling ML in a regulated financial institution. ServiceNow and CI/CD adoption suggests infrastructure modernization alongside business process automation.
Notable leadership hires: Partner Management Lead, Operational Risk Lead, Tech Lead, Technical Lead, Collateral Risk Lead
Freddie Mac provides liquidity and stability to the U.S. housing market by purchasing and guaranteeing mortgages, serving homebuyers, homeowners, and renters. As a public company headquartered in McLean, VA, with 5,001–10,000 employees, the organization handles massive volumes of mortgage origination, securitization, and risk management. Core functions span finance, credit risk modeling, property valuation, and compliance—all critical to maintaining portfolio health in volatile interest-rate and housing-market environments.
Java, Python, Apache Spark, Snowflake, AWS (EKS, EMR), Kubernetes, Workday, ServiceNow, Salesforce, SAS, SQL, and Unix. Actively adopting ServiceNow, CI/CD pipelines, and RAG.
Agentic workflows, full-stack gen AI agents, securitization automation, credit risk and property valuation model development, loss forecasting, and an AI governance framework—reflecting a shift toward automation and ML-driven decision-making.
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