Regional banking platform for ASEAN with compliance automation and wealth services
UOB operates a banking network across ASEAN with 10,000+ employees and an active hiring pipeline of 1,300 roles. The tech stack reflects a hybrid-infrastructure org (VMware, RHEL, GCP) running Python ML stacks (TensorFlow, scikit-learn, Keras) for data analysis and modeling. Project concentration on AML automation, transaction monitoring, and fraud mitigation—plus adoption of SAFe and migration away from Sybase—signals operational modernization of compliance and core systems. Finance and ops dominate the department mix, with a VP/senior-heavy hiring tier reflecting leadership-layer expansion.
Notable leadership hires: Market Head, Product Controls Head, Head of Technology Engineering, Wealth Banking Head, Head of Deposits
UOB is a Singapore-headquartered regional bank serving personal and business customers across ASEAN, with particular focus on wealth management, deposits, and transaction services. The bank operates through a distributed network in Singapore, Indonesia, Malaysia, China, Thailand, Vietnam, and Australia. Current operational priorities center on compliance automation (AML/CFT frameworks, transaction monitoring), anti-fraud strategy, new service development, and enterprise transformation. The organization balances customer acquisition against risk mitigation—reflected in active hiring across finance, operations, and sales alongside elevated focus on compliance, security, and data governance roles.
Primary stack: Excel, Python, SQL, R, Power BI, Qlik for analytics and modeling. Infrastructure: VMware vSphere, RHEL, GCP. ML frameworks: TensorFlow, Keras, scikit-learn. Adopting SAFe; migrating away from Sybase.
Headquartered in Singapore. Active in 7 countries: Singapore, Indonesia, Malaysia, China, Thailand, Vietnam, Australia. Hiring in all markets.
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