SME financing platform using ML and data infrastructure for faster credit decisions
Froda operates a lending platform for European SMEs built on .NET + C# + SQL/NoSQL, with a modern data stack (Snowflake, Kafka, Airflow, dbt) handling credit risk modeling and fraud detection. The tech shape—heavy infrastructure and data tooling across a 51–200-person org—reflects their core challenge: scaling automated underwriting and loan servicing systems while expanding ML capabilities. Engineering and data teams dominate the hiring mix, with active projects focused on credit systems reliability and partner API integration.
Froda is a fintech company headquartered in Stockholm that simplifies access to financing for small businesses across Europe. The platform automates credit decisioning through machine learning and data analytics, reducing approval times and removing traditional gatekeeping from SME lending. The product spans underwriting (credit risk models, fraud detection), loan servicing (payment processing, core systems), and partner integrations via APIs. Current operational priorities include improving the reliability of internal platform infrastructure, expanding data science capabilities, and reducing loan approval cycles to compete on speed and cost.
Froda's primary stack includes C#, .NET, SQL, NoSQL, Azure, Docker, Kubernetes for backend services; Snowflake, Kafka, Apache Airflow, dbt for data pipelines; React, TypeScript, Tailwind CSS for frontend; and AWS and GCP for cloud infrastructure.
Active projects include credit risk modeling, fraud detection systems, loan payment core maintenance, CI/CD pipeline improvements, and API-based partner products. Internal platform scaling and credit systems reliability are key focus areas.
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