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LGT Private Banking Tech Stack

Private bank serving ultra-high-net-worth clients across 40+ locations

Banking Vaduz 1,001–5,000 employees Privately Held

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.

Tech Stack 44 technologies

Core StackMongoDB PostgreSQL GitLab CI/CD GitLab Docker Kubernetes ArgoCD Python NumPy pandas Power BI Jira Go Workday Oracle Database PL/SQL Avaloq Bloomberg Microsoft Project Azure PowerShell ITIL OneNote Aladdin Oracle RAC Oracle Data Guard Oracle Exadata Bash Perl UNIX+5 more
AdoptingC++ Rust Java AWS Azure GCP

What LGT Private Banking Is Building

Challenges

  • Optimizing regulatory reporting processes
  • Expanding cooperation with external asset managers
  • Ensuring compliance with sanctions
  • Enhancing service performance monitoring
  • Improving operational stability
  • Strengthening it operations team
  • Developing processes for international mortgage business
  • Monitoring mortgage portfolio quality
  • Developing cross-border mortgage business
  • Adapting to us tax law changes

Active Projects

  • Processes and standards development for international mortgage business
  • Aml/cft training course development
  • Cross-border mortgage business development
  • Automation of regulatory reporting processes
  • Expanding upscale private banking client base
  • Security-by-design reviews
  • Power bi dashboard development
  • Abacus regulatory reporting system optimization
  • Multi-region deployment solutions
  • Modernizing audit approaches with digital tools

Hiring Activity

Accelerating35 roles · 35 in 30d

Department

Finance
22
Ops
5
Engineering
2
Legal
2
Risk
2
Security
2
HR
1

Seniority

Mid
11
Senior
10
Manager
8
Junior
3
Lead
3
Staff
1

Notable leadership hires: mortgage team lead

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About LGT Private Banking

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.

HeadquartersVaduz
Company Size1,001–5,000 employees
Hiring MarketsAustria, Liechtenstein, Peru

Frequently Asked Questions

What is LGT's technology stack?

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.

What is LGT working on?

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.

How this profile is built

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.