LGT is a Liechtenstein-based private bank with 1,001–5,000 employees operating across Europe, Asia Pacific, and the Middle East. The tech stack reveals a hybrid legacy-and-modern shape: Oracle and Avaloq dominate banking operations (regulatory reporting, wealth management), while MongoDB, PostgreSQL, Kubernetes, and Python support newer microservices infrastructure. Active hiring is concentrated in finance (regulatory, compliance, mortgage operations) rather than engineering, and projects center on regulatory automation, cross-border mortgage expansion, and dashboard modernization — signaling incremental digitization of compliance-heavy workflows rather than platform-level transformation.
Notable leadership hires: mortgage team lead
LGT is an internationally present private bank owned by the Princely Family of Liechtenstein, specializing in wealth management, investment solutions, and philanthropic advisory for ultra-high-net-worth individuals. The firm operates across 40+ locations and employs 1,001–5,000 people. Core business areas include private banking, sustainable investing, impact investing, private markets access, and estate/wealth planning. The company emphasizes long-term thinking, family governance, and responsibility-driven wealth management rooted in 900 years of institutional tradition. Sustainability commitments include net-zero CO2 by 2030 for operations and investments.
LGT uses Oracle Database, Avaloq (banking), PostgreSQL, MongoDB, Kubernetes, Python, Power BI, and Bloomberg. The stack is adopting C++, Rust, Java, and multi-cloud (Azure, AWS, GCP) and maintains legacy UNIX/PL-SQL infrastructure.
Current projects include automating regulatory reporting, expanding cross-border and domestic mortgage businesses, developing AML/CFT training, Power BI dashboard development, security-by-design reviews, and multi-region deployment solutions.
LGT Private Banking'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.