SMBC Group Tech Stack
Global financial group modernizing legacy banking infrastructure with cloud and AI
SMBC Group operates three of Japan's largest banking franchises across 150 offices and 40 countries, serving corporate and institutional clients through capital markets, trade finance, and treasury services. The tech stack reveals a wholesale migration from Oracle on-premises (EBS, ERP, GL) to Azure cloud with Databricks and Delta Lake, paired with leadership hires in AI and data governance—signaling a pivot toward AI-driven risk modeling and regulatory reporting at scale. Pain points cluster around data governance and model risk, suggesting internal friction between legacy compliance infrastructure and new data platforms.
Tech Stack 190 technologies
What SMBC Group Is Building
◆Challenges
- Regulatory compliance for ai
- Establishing data governance
- Ensuring data governance compliance
- Improving model risk governance
- Ai compliance with regulations
- Improving risk reporting processes
- Complex capital structure
- Accurate reporting
- Improving booking accuracy
- Enhancing automation in reporting
▲Active Projects
- Asset distribution for corporate trade finance assets
- Cybersecurity data lakehouse
- Ai risk management framework
- Legacy application logic migration to azure databricks
- Analytics governance capability build
- Develop internal credit risk models
- Quarterly regulatory reporting assessments
- Finance stress testing platform delivery
- Finance model execution platform implementation
- Regulatory reporting platform integration
Hiring Activity
Department
Seniority
Notable leadership hires: Chief Operating Officer, Trade Finance Director, Artificial Intelligence Lead, Technology Lead, Data Analytics Lead