enterprise SaaS provider in the financial services analytics space
Primary Use Case:
production-grade MVP with validated models, automated data pipelines, and baseline governance (monitoring, audit logs, reproducibility) running on real data
Project Type:
re-architecture
Key Technical & Delivery Constraints:
strict data access controls (no raw data leaving our VPC), zero downtime for existing reporting consumers, and audit-ready change tracking from day one
Compliance & Regulatory Requirements:
GDPR (incl. DPIA where applicable), SOC 2–aligned controls, model governance with versioning and explainability, and full audit trails across data, code, and decisions
Target Time Frame:
10–12 week window starting in the next quarter
Client Team Size:
6 (2 data engineers, 2 ML engineers, 1 platform engineer, 1 product/analytics lead)
Approved Budget Range:
€250k–€350k
— Frid Labs
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