Global banking group spanning corporate, investment and consumer finance
SMBC Group is a Tokyo-headquartered banking group whose stack leans heavily on Azure (Functions, App Service, Data Explorer, SQL) alongside Databricks, Kafka and kdb+ for markets data. Hiring is accelerating and finance-heavy, skewed toward VP-level roles, with projects centered on CCAR stress testing, regulatory reporting platforms and an Oracle Fusion Financials rollout. That points to a US-regulatory-driven finance modernization push.
Notable leadership hires: Chief Data Scientist, Stress Testing Lead, Lead Developer, Technology Lead, Penetration Testing Lead
SMBC Group is a global financial group headquartered in Tokyo, with Sumitomo Mitsui Financial Group as its holding company. It serves corporate, institutional and individual clients across corporate and investment banking, global markets, commercial banking and consumer banking. Core specialties include capital markets, derivatives, sales and trading, FX and treasury services, trade finance, lease finance and leveraged finance. The group operates more than 150 offices across nearly 40 countries and regions with over 10,001 employees, and its shares trade in Tokyo, Nagoya and as ADRs on the NYSE.
SMBC Group runs Python, Java, Kafka, kdb+ and Databricks on a largely Azure-based cloud, with Power BI, Alteryx and Cognos for analytics, plus Oracle EBS, Oracle Cloud, Workday and SAP SuccessFactors for enterprise systems.
Active initiatives include a finance model execution platform, a finance stress testing platform for CCAR, regulatory reporting platform integration, Oracle Fusion Financials implementation and trading desk workflow automation.
SMBC Group is hiring in the United States, Canada, Singapore, India, the Philippines, China, Australia, Peru and Malaysia, with demand concentrated in finance, engineering, data and security roles.
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SMBC Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.