The system is a SaaS platform allowing the client to evaluate solvency and reliability of the potential borrowers using statistical methods of analysis of the historical and nontraditional data sources such as social network profiles and others. It allows the client to upload his normalized and anonymized database of previous loans data, build mathematical models and calculate the credit score of the future potential borrowers entering their data through the system’s web interface.

Domain: Fintech

Engagement model: Time & Materials

Effort and Duration: ongoing

Solution: Credit Scoring App

Technologies: Ruby on Rails, SQL Server, Bootstrap, Java, Mongo DB, Spring

Project Team: 2 developers, 1 QA Engineer, 1 PhD mathematician-consultant part time