Polish consumer bank scaling AI and automation across lending and marketing
Santander Consumer Bank is building out AI/ML infrastructure while modernizing its core banking operations. The tech stack reveals a hybrid approach—mature enterprise tools (SAP, SQL Server, Salesforce Marketing Cloud) alongside emerging AI patterns (RAG, RPA, Python)—and active adoption of Azure DevOps and Git suggests the organization is formalizing development practices. Current project velocity centers on AI architecture for banking processes, receivables automation, and marketing personalization, with internal pain points around model lifecycle management and AI compliance indicating the bank is learning to operationalize these capabilities at scale.
Santander Consumer Bank is a subsidiary of the Spanish Santander Group and a major player in Poland's consumer finance market. Founded in 2006, the bank operates across installment loans, cash loans, credit cards, vehicle financing, term deposits, and insurance products for individuals and institutions. The company also serves car dealers and used-car dealers with specialized business loan offerings. With 1,001–5,000 employees headquartered in Wrocław, the organization competes primarily on product breadth and regional market position. Recent hiring is concentrated in engineering, data, and finance roles, reflecting internal investment in analytics infrastructure and automation rather than expansion of sales or customer-facing capacity.
Core tools include SQL Server, SAP, Salesforce Marketing Cloud, Python, and Power BI. The bank is adopting Azure DevOps and Git; recently deployed RAG, RPA, and AI/ML platforms for banking processes.
Yes. Engineering roles are the largest active hiring category (3 open, with senior and mid-level seniority. Hiring is limited to Poland.
Primary projects include end-to-end AI/ML deployment for banking processes, AI agent orchestration, receivables portfolio automation, forecasting models, and marketing campaign personalization via Salesforce Marketing Cloud.
Other companies in the same industry, closest in size