Banking systems engineering and risk modeling for Commerzbank Group
Commerzbank's Polish engineering centre operates across two distinct domains: digital banking applications and quantitative risk/capital management. The tech stack—Python, R, SQL, Spark, Airflow on GCP/Azure/OpenShift—reflects a data-heavy, infrastructure-first organization. Active hiring acceleration in engineering (28 roles) and data (16 roles) against a backdrop of pain points around legacy system maintenance, large-scale data handling, and operational stability suggests the group is modernizing risk platforms while scaling application delivery.
Commerzbank Digital Technology Centre Poland, headquartered in Łódź and founded in 2016, is an engineering and analytics hub for Commerzbank Group's digital transformation. The 201–500 person organization splits effort between building and maintaining banking applications that automate business processes and developing advanced credit, market, and liquidity risk models and capital management tools. The team combines IT specialists, data analysts, and quantitative researchers using Python, R, SQL, Spark, and orchestration tools (Airflow, Cloud Composer) on multi-cloud infrastructure (GCP, Azure, OpenShift). Governance and risk reporting—including rating tool maintenance, model validation, and fraud/compliance frameworks—anchors operational requirements. Agile practices and containerized deployment (Docker, Kubernetes) are standard; legacy application landscapes and data volume scaling remain documented operational constraints.
Primary: Python, R, SQL, Spark (PySpark), Airflow. Platforms: GCP (BigQuery, Dataproc, Cloud Composer), Azure, OpenShift. Data visualization: Qlik. Workflow: Jira, Confluence, Git, Bitbucket. Containerization: Docker, Kubernetes. Scripting: Java, C++, JavaScript, React. Testing: Selenium.
Credit risk model development, rating tool implementation, customer data management platforms, data pipeline infrastructure (Qlik structures, Datamart builds), and cross-functional risk methodology architecture. Group-wide credit risk models and calculation kernel implementations are active workstreams.
Other companies in the same industry, closest in size