TF Bank operates a multi-country credit and payments business on a proprietary tech stack spanning Azure, Kafka, and Snowflake—now actively adopting dbt and Databricks for analytics. The hiring mix skews engineering and data-heavy (24 of 61 active roles), with acute focus on credit risk modeling, provisioning accuracy, and affordability scoring, indicating a shift toward data-driven underwriting at scale across fragmented regulatory regimes.
Notable leadership hires: Head of Finance, Tech Lead
TF Bank is a public digital lender and payments platform serving creditworthy individuals across 14 European countries (Nordics, Baltics, Poland, Germany, Austria, Spain, Ireland, Netherlands, Italy). Founded in 1987 and listed on Nasdaq Stockholm since 2016, the company operates three business lines: credit cards, e-commerce financing solutions, and consumer lending. The business targets small-ticket, short-term loans and deposits, delivered through a proprietary technology infrastructure built on Azure cloud services, event streaming (Kafka), and a modern data stack (Snowflake, dbt, Databricks).
Primary: Azure cloud suite (DevOps, Service Bus, SQL, Resource Manager), SQL Server, Kubernetes, C#, Python. Data layer: Kafka, Snowflake, dbt, Databricks. Secondary: AWS, GCP, Docker, Terraform, Power BI, Java, Scala.
Borås, Västra Götaland County, Sweden. Public company on Nasdaq Stockholm with 201–500 employees.
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