Short-term business lending platform with AI-driven underwriting and risk management
Mulligan Funding operates a lending platform for small and mid-sized businesses built on a modern data stack (PostgreSQL, Cosmos DB, dbt, Trino, Python, Flask, Kubernetes). The project portfolio reveals a company in active transition toward AI-enabled decision-making—structured reasoning frameworks for credit policy, multi-layer fraud detection hierarchies, and workflow modernization dominate their roadmap. Hiring acceleration in finance and data roles, paired with active work on explainability and bias assessment, signals investment in regulatory-compliant AI rather than speed-first automation.
Mulligan Funding provides working capital loans, lines of credit, merchant cash advances, and other short-term financing products to small and mid-sized businesses in the United States. The company was founded in 2008 and operates from San Diego with 51–200 employees. Their platform combines underwriting, origination, and portfolio management across acquisition, collections, and securitization workflows. Current engineering focus spans loan servicing, recovery operations, cash flow modeling, and capital optimization.
PostgreSQL, Azure Cosmos DB, dbt, Trino, Python, Flask, Docker, Kubernetes, and Azure Machine Learning. Salesforce and Microsoft Office suite for business operations.
San Diego, California. The company also hires in Peru. Founded in 2008, it operates as a privately held firm with 51–200 employees.
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