Credit Score

Assessment of default probability based on the borrower’s credit history

You can simplify, speed up and reduce the cost of credit decisions.

The scoring model is based on the data in Ukraine’s largest database of credit histories and we are constantly improving and updating it, which ensures maximum efficiency in risk prediction.

Contents
Identification

Borrower’s current ID data and the history of changes made to it.

UBCH credit score

Digital assessment of the creditworthiness of the subject based on the data from the borrower’s credit history. Shows the probability of default.

Register of requests

real-time information about the number of requests on the subject.

Passport check against the Ministry of Internal Affairs database

Search results in the list of lost (stolen) passports in the Ministry of Internal Affairs database

Model
Target function
Late payment of over 100 UAH at least 90 days past due within a 12-month period
Predictors
Credit history characteristics
Method
Gradient boosting
0.91
ROC-AUC
0.65
KS
Default probability based on scoring
Credit Score
Credit Score
68 674 980
credit histories
Credit Score
23 388 389
subjects of credit histories
Credit Score
3 531
partners
Credit Score
248 157 927
requests with the Bureau
Credit Score
10 601 040
negative credit histories
Checks of clients, partners and counterparties, risk control and fraud protection
online 24/7 with no subscription fees!
Thank you for your trust!
Sign up manual has been sent to your email address.