Small-business lending platform with AI-powered credit decisioning
One Park Financial is a lending platform for small businesses, built on Plaid for bank connectivity and Salesforce for underwriting workflows. The tech stack—Python, dbt, AWS, Power BI, plus recent OpenAI and Amazon Bedrock adoption—reveals an organization shifting toward AI-driven credit decisions and real-time merchant engagement. Active hiring across sales, finance, and security (24 roles posted in 30 days) mirrors their core challenges: optimizing credit funnels, preventing data exfiltration, and scaling merchant acquisition.
One Park Financial provides working-capital financing to small and medium-sized businesses, operating as a direct lender rather than a marketplace. Founded in 2010 and headquartered in Miami, the company serves entrepreneurs and business owners across the United States, Dominican Republic, and Mexico. The platform integrates bank connectivity via Plaid, underwriting via Salesforce, and emerging AI/ML models for credit decisioning. Internal focus spans merchant onboarding experience, credit funnel optimization, and data governance—reflected in active projects around decision-engine productionization, DLP policy enforcement, and merchant-health monitoring.
Core stack: Plaid (bank data), Salesforce (CRM/underwriting), AWS (infrastructure), Python (development), dbt (data transforms), and Power BI (analytics). Security layer: Okta, Microsoft Purview, Mimecast. Recent adoption: OpenAI and Amazon Bedrock for AI/ML models.
Productionizing AI/ML credit-decision engines, redesigning merchant onboarding and pricing workflows, implementing data loss prevention (DLP) policies via Purview/Mimecast, and building merchant-health and journey-mapping models to reduce disengagement.
One Park Financial'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.