Embedded lending infrastructure for software platforms serving SMBs
Prime builds the backend for embedded lending — infrastructure that lets software platforms offer real loans to small businesses directly within their product. The tech stack (Python, Flask, PostgreSQL, Databricks, Spark) reflects a data-intensive credit operation; the project list (credit decisioning ML, fraud detection, credit risk frameworks, data mesh) shows they're solving the hard problems in underwriting automation and portfolio management. Hiring is heavily credit-focused (Head of Credit, Credit Head roles) with concurrent data engineering expansion, indicating Prime is scaling both the decisioning engine and the data infrastructure underneath it.
Notable leadership hires: Credit Head, Head of Credit
Prime builds infrastructure that embeds institutional lending into business software. The company partners with software platforms, financial institutions, and capital providers to deliver lending programs designed for compliance and scale. Rather than push high-cost cash advances, Prime's infrastructure combines predictive credit models with institutional underwriting to deliver bank-grade loan programs embedded directly into the software small businesses already use. The product targets the gap between traditional bank lending (which struggles with non-traditional SMBs) and the high-cost alternatives that dominate the market. Operations are concentrated in New York City with a lean team focused on credit systems and data engineering.
Python, Flask, React, PostgreSQL, and SQL for the core platform; Databricks and Apache Spark for data processing; Terraform for infrastructure-as-code; and AWS for cloud compute.
Core projects include credit decisioning ML models, fraud detection, credit risk assessment frameworks, credit lifecycle management, data mesh architecture, and large-scale distributed data pipelines for lending operations.
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