Malaysia's first homegrown digital bank, launched January 2024
Boost Bank is a newly licensed digital bank (launched 15 January 2024) building core lending infrastructure—loan origination, loan management, and collection systems—alongside fraud detection and cyber resilience frameworks. The tech stack reveals a cloud-native, data-first architecture: Next.js + Java/Spring Boot + Kafka for event streaming, Databricks + Spark for analytics, and both AWS Bedrock and Azure OpenAI for generative AI features. Active project list signals heavy focus on AI-driven automation (agentic risk intelligence, LLM transactional automation, generative onboarding) and regulatory compliance, with security and compliance roles anchoring the leadership hiring mix.
Boost Bank Berhad is Malaysia's first homegrown digital bank, licensed by Bank Negara Malaysia (BNM) and the Ministry of Finance, and began operations on 15 January 2024. The bank operates as a PIDM member, serving retail customers in Malaysia with digital-first banking and financial services. With 51–200 employees and 16 active job openings, the organization is scaling engineering, product, and security functions. Current development focuses on core lending platforms (origination, management, collections), fraud detection, cyber incident response, and AI-driven customer onboarding and transactional automation.
Next.js and Java/Spring Boot for applications; MySQL and AWS RDS for databases; Kafka for event streaming; Databricks and Apache Spark for analytics; AWS Bedrock and Azure OpenAI for generative AI; Kubernetes and Docker for containerization; AWS, GCP, and Terraform for infrastructure.
Yes. Boost Bank has 4 active engineering roles open, with 7 leadership-level positions and 5 mid-level roles across all departments. Hiring is concentrated in Malaysia and velocity is accelerating.
Core products include loan origination, loan management, and collection systems. Active projects span fraud detection, cyber resilience frameworks, generative AI for onboarding, LLM-based transactional automation, and agentic AI for risk intelligence.
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