Risk Analysis Input
Enter the CUIT/CUIL number to perform behavioral scoring analysis
Behavioral Scoring
Our scoring models empower you to make critical business decisions with confidence and speed. They transform complex data into a clear, single score, giving you an immediate, data-driven assessment of a customer, a lead, or a potential risk.
How it works
This model estimates default risk by demographic segment, helping you protect profitability by screening out high-risk applicants before approval.
Apply these insights to set approval thresholds, credit limits, and pricing tuned to each group's risk profile before launching new products or campaigns.
Example — Considering a new loan product for ages 22–23? This model forecasts their payment capacity and expected default rate in advance, enabling you to calibrate pricing and cutoffs with confidence.
This is a Proof of Concept (PoC) project to explore the potential of machine learning models for Risk & Scoring. The work presented here uses available credit data to predict an individual's credit default. This solution demonstrates an ability to excel by providing insight into credit behavior within segmented groups, which can be used to predict default rates and, consequently, calculate more accurate interest rates.