Cake is a Vietnamese digital bank founded in 2021 that has embedded AI across lending, fraud detection, risk governance, and operations — not as an add-on but as the core operating model. The tech stack reveals heavy investment in data infrastructure (BigQuery, Apache Flink, Debezium, DataHub) and ML tooling (OpenAI API, Iceberg adoption), paired with hiring acceleration in data and engineering roles. Pain points around manual reconciliation, real-time fraud detection, and AML/CTF compliance suggest the bank is scaling its compliance and risk layers while maintaining the speed advantage that enabled EBITDA profitability in 3.5 years.
Notable leadership hires: Reconciliation Lead
Cake is a fully digital bank operating in Vietnam, processing 100% of transactions online with approvals within minutes. Since launch in 2021, the bank has grown to serve over 6.5 million customers and reached EBITDA profitability — a milestone claimed as the first among Vietnam-only digital banks. The product roadmap spans consumer lending, card operations, partner integrations, and spend activation programs. Operations are distributed across Vietnam and Philippines-based teams, with current hiring focused on data, engineering, and marketing to support scaled growth and compliance maturity.
Core: Python, Java, JavaScript/TypeScript, SQL, NoSQL. Data: BigQuery, Apache Flink, Debezium, DataHub, Terraform. Testing: Selenium, Appium, JMeter, Locust, Cucumber. Cloud: AWS, GCP. CI/CD: Jenkins, GitLab CI/CD, GitHub Actions, Docker, Kubernetes. AI: OpenAI API, GitHub Copilot. Currently adopting Apache Iceberg.
Active projects include card operations, partner integrations, loan products, document classification and fraud detection, card spend activation, AML/CTF compliance implementation, and card scheme compliance. Internal focus areas: reconciliation automation, real-time fraud detection, and scaling AI-driven telesales.
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