Digital consumer lender automating credit decisioning with data analytics
4finance operates as a multi-product digital lender across Europe and emerging markets, built on MySQL, PostgreSQL, and AWS with a heavy analytics layer (Pandas, NumPy, SciPy, Airflow, Power BI, Tableau, Looker). The hiring and project mix reveals a company scaling data infrastructure and credit risk automation: 3 data roles, active work on A/B testing risk models and credit limit policies, and ongoing integration of new data sources—suggesting operational focus on reducing origination friction and portfolio quality monitoring.
4finance is a public digital consumer lender headquartered in Riga, Latvia, offering single-payment loans, lines of credit, and installment products across Europe and select emerging markets. The company operates with 501–1,000 employees and a 501-strong tech footprint centered on loan origination, risk decisioning, and customer analytics. Core business challenges include data source integration, portfolio monitoring, and automation of sales and marketing workflows. Recent project activity spans geographic expansion (Spain, South Africa), A/B testing of risk models, credit limit policy design, and optimization of customer journey and repeat lending.
4finance runs on MySQL, PostgreSQL, and SQL Server for databases; Python-based data engineering with Pandas, NumPy, SciPy; Apache Airflow for orchestration; and BI tools including Power BI, Tableau, Looker, and Grafana. Infrastructure is hosted on AWS and Linux.
4finance has 8 active roles with steady hiring velocity. Open positions span data (3), finance (3), and engineering (1), with roles skewed toward mid-level seniority across data and finance teams.
4finance is actively hiring in Kazakhstan and Latvia, with headquarters in Riga.
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