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ACB - Asia Commercial Bank Tech Stack

Vietnam's leading commercial bank modernizing digital banking and AI-driven lending

Banking Ho Chi Minh City 10,001+ employees Founded 1993 Public Company

ACB is one of Vietnam's top-tier commercial banks with 10,000+ employees across retail, corporate, and financial-markets segments. The tech stack reveals a dual-layer modernization effort: Java/Spring Boot/Kafka for core banking infrastructure, paired with an emerging AI-native stack (LangChain, LangGraph, Qdrant, Milvus, vLLM, Langfuse) — signaling active investment in generative AI for credit decisioning and customer intelligence. Hiring acceleration is concentrated in senior engineering (5 roles) and finance/product leadership (8 roles), matching project focus on digital lending transformation, portfolio analytics, and critical application refactoring.

Tech Stack 47 technologies

Core StackPython Java Kafka PL/SQL RabbitMQ AWS Jira Confluence LangChain Pinecone Weights & Biases Docker Kubernetes Sketch Figma Miro Trello Spring Boot Azure GCP Microsoft Project LangGraph Qdrant Milvus vLLM Langfuse LangSmith asyncio aiohttp Pydantic+13 more

What ACB - Asia Commercial Bank Is Building

Challenges

  • Deposit growth
  • Integration across systems
  • Acquiring new corporate clients
  • Retaining clients and expanding transaction volumes
  • Modernizing legacy banking systems
  • Scaling digital banking platforms
  • Reduce turnaround time
  • Increase straight-through processing
  • Portfolio profitability
  • Optimizing credit portfolio

Active Projects

  • Annual business plans
  • International payment and trade finance product rollout
  • Debt trading and syndicated financing
  • Critical banking applications architecture
  • Digital banking systems delivery
  • Msme credit architecture
  • Digital lending transformation
  • Portfolio analytics & risk monitoring
  • Building credit risk reporting system
  • Corporate bond investment opportunities

Hiring Activity

Accelerating15 roles · 15 in 30d

Department

Finance
6
Engineering
5
Product
2
Data
1

Seniority

Senior
6
Director
4
Lead
2
Manager
2

Notable leadership hires: Director Digital Lending, Head of Investment, International Product Director

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About ACB - Asia Commercial Bank

ACB operates as a joint-stock commercial bank in Vietnam, founded in 1993 and publicly traded. The bank serves retail, corporate, and institutional clients through an extensive branch network, offering deposit products, lending, payment services, trade finance, and investment banking. Five strategic pillars guide operations: customer orientation, risk management, sustainable financial performance, process efficiency, and business ethics. Core digital initiatives span digital banking systems delivery, MSME credit architecture, debt trading platforms, and international payment/trade-finance product rollout. The organization is addressing structural challenges around legacy system integration, deposit mobilization, credit-portfolio optimization, and straight-through processing automation.

HeadquartersHo Chi Minh City
Company Size10,001+ employees
Founded1993
Hiring MarketsVietnam

Frequently Asked Questions

What technology stack does ACB use for banking systems?

Java, Spring Boot, Kafka, PL/SQL, RabbitMQ on AWS/Azure/GCP infrastructure; containerized via Docker and Kubernetes. For emerging AI initiatives: LangChain, LangGraph, vector databases (Qdrant, Milvus, Pinecone), and ML monitoring (Langfuse, Weights & Biases).

What are ACB's main digital transformation projects?

Digital lending transformation, digital banking systems delivery, MSME credit architecture, international payment/trade-finance product rollout, critical banking application refactoring, and portfolio analytics & risk-monitoring systems.

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How this profile is built

ACB - Asia Commercial Bank'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.