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Data Nest Tech Stack
Credit scoring and lead generation for fintech companies using data analytics and AI
Data Nest builds credit scoring and fraud detection products for fintech and finance companies in Southeast Asia. The stack is modern infrastructure-heavy—Python, Go, Kubernetes, Terraform, ArgoCD—paired with observability depth (Grafana, Prometheus, Loki, Tempo), suggesting a focus on operational reliability for real-time risk models. Hiring velocity is accelerating across data and engineering roles, with a mid-to-senior mix tilted toward analytics and infrastructure work.
Tech Stack 13 technologies
Core StackPython Go GitHub Actions ArgoCD Ansible Terraform Grafana Loki Prometheus Kubernetes Tempo PromQL LogQL
What Data Nest Is Building
◆Challenges
- Credit loss reduction
- New services release
- Consumer base expansion
- Optimizing risk policies
- Enhancing credit assessment
- Driving business efficiency
- Widening consumer base
▲Active Projects
- Credit score
- Fraud score
- Lead generation
Hiring Activity
9 roles · 5 in 30d
Department
Seniority
Company intelligence
