Case studies / Credit scoring platform

FinTech · High-load scoring platform

Credit scoring platform

Credit decisions depended on manual checks across external bureaus and state registries: a single application took 15–20 minutes, the process could not scale with volume, and decision quality was hard to control.

1.2

Seconds per decision

Previously 15–20 minutes

98%

Model accuracy

Lower default risk

10+

External sources

Bureaus and registries via API

What we did

Scope of work in this project

  • Built a high-load decision service for the financial contour
  • Integrated 10+ credit bureaus and state registries via API
  • Designed the architecture for a fast scoring scenario and growing load
  • Embedded the machine-learning model into the application review process
Result

What changed for the business

Scoring time dropped to 1.2 seconds instead of 15–20 minutes

Model accuracy reached 98%, which helped reduce defaults

The service now works as the main decision mechanism in the FinTech contour

Services involved
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