Fintech · Lending & Credit · 200–1000 · North America #b003_09

Context

We provide auto financing through dealerships to borrowers with limited credit history, using our own machine learning models for underwriting. Engineering is split across two sites.

Industry

Fintech · Lending & Credit

Size

200–1000 employees

Region

North America

Tools budget

$5K–20K per month

Needs

Data pipelines & integration. We maintain many batch pipelines feeding underwriting and reporting, and need them easier to build, orchestrate and keep consistent.

Data quality & observability. Bad or late data quietly skews our credit models, so we want validation and alerting across the warehouse.

Expects from suppliers

Works with a cloud warehouse and common orchestration tools; Lineage and alerting that analysts can understand; Clear pricing as data volume grows

Not a fit

Tools that require replacing our existing warehouse; Vendors without lending data experience

Stack

data warehouse: cloud, cloud: AWS-class hyperscaler

Buying triggers

scaling transaction volume, AI adoption push