Credit Score

Credit risk assessment based on a borrower’s credit history

The scoring system, based on the data of the largest database of credit history bureaus in Ukraine, allows you to simplify and accelerate the credit decision making process, and ensures the maximum efficiency in risk prediction.

The study and analysis of a credit history, by a credit expert, especially if it includes a large number of contracts, takes a much time and has low efficiency.

Automation of the assessment of credit history status, using a scoring model, allows you to carry out such an analysis in a matter of seconds, taking into account the influence of various aspects and their combinations, based on statistical regularities.

How does credit scoring work?

When developing a scoring model, a set of so-called “predictors” is formed – factors that, hypothetically, can influence the further credit behavior of the borrower. These predictors are then tested on large volumes of data. Actual impact and significance of each predictor are determined. This is how a scoring model is built.
The result of the scoring model work, is a credit score – a numerical indicator assessing the likelihood of a borrower’s default, based on his/her credit history data.

Credit Score Report is intended for obtaining the credit scores of individuals and entrepreneurs. To obtain credit scores for legal entities, use the SME Scoring service.

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.

Information about enforcement proceedings

parties to enforcement proceedings; information about the contractor (name, contacts); characteristic of enforcement proceedings (status, type, opening date); history of changes in enforcement proceedings.

Identity document check

search results in the list of lost and invalid documents.

MFI scoring

assessment of the probability of late payments on a short-term loan from a microfinance institution.

Register of requests

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

Warnings

comments from the subject, reports of a lost passport, disputing a loan contract or activated FREEZE.

What tasks does having a credit score solve?
  • improving the efficiency of credit risk assessment;
  • automation of credit risk assessment;
  • simplification and acceleration of credit decisions;
  • elimination of the human factor.
Why is it beneficial for your business?
  • acceleration of credit application processing, increases business performance and client loyalty,
  • predicting a borrower’s behavior allows you to estimate risks and manage characteristics of credit products, to ensure optimal performance and maximum efficiency,
  • determination of the optimal target audience, allows you to attract the desired customers more effectively,
  • timely identification of borrowers, with a high likelihood of default, allows you to minimize the portfolio of bad loans.
Default probability based on scoring
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
Report processing

After the Agreement-Application has been signed, and login and password have been obtained, a report can be requested through:

WEB
This method enables the manual processing of requests. To request a report, it is enough to specify the customer’s Tax Identification Number as well as his/her full name and date of birth.
XML
This method of reporting enables the automated processing of requests, and provides reports in the format of your choice.
General structure of interaction:
Http Method
POST
Request URL
Test URL
Request
Response

 Requesting a report is possible only subject to the individual’s consent

Frequently Asked Questions

What is a credit scoring?

Credit scoring is a system of assessment of creditworthiness (default risks), based on numerous statistical models.

What does UBCH’s credit scoring model for individuals take into account?

The model includes more than 200 predictors, derived from credit history data and its relationships. For example, the presence of current and past overdue payments, the number of outstanding and paid-off loans, their amounts and duration, the frequency of requests for credit history, in order to approve loans, etc.

How to evaluate UBCH’s credit scoring for individuals?

The credit score value, obtained as a result of credit scoring for individuals, ranges from 0 to 700, and directly corresponds to the level of creditworthiness.

It means, the higher the credit score value, the higher the likelihood that the borrower will fulfill his or her credit obligations in good faith. If there is a current overdue payment, for a period of more than 90 days in the borrower’s credit history, the credit score will be 0.

The range from 0 to 700 is divided into subranges:
0-250 – very low
250-350 – low
350-450 – medium
450-550 – high
550-700 – very high

What does it mean when a borrower, being checked, does not have a calculated credit score?
  1. If a borrower does not have the credit history, or it is not informative (very short-term or includes only credit card agreements without credit tranches), the credit score is not calculated, due to insufficient data.
  2. If a borrower has applied to the bureau to dispute some data in the credit history, and the procedure is still on-going, the credit score is not calculated, to prevent potentially erroneous scores.
How to improve credit scoring?

In addition to basic credit scoring for individuals, it will be useful to utilize the additional scoring products for specific purposes.

  • Short-term loans have their own specifics and target audience. For microfinance organizations, we have developed a highly specialized model, that allows them to predict risks for their products more accurately – MFI scoring.
  • In the absence of a credit history, it might be useful to utilize alternative scoring models, in particular, a model based on data on the use of a Visa card (amount and categories of expenses, payment patterns and their stability, rejected transactions) – Visa Transaction Underwriting Score.
  • The more accurately, that the target function and the training set for building a scoring model correspond to the realities of your business, the more effective the risk assessment will be. The bureau can create an Individual scoring for your specific target function and sampling parameters.
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credit agreements
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subjects of credit histories
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partners
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requests with the Bureau
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negative credit agreements
Checks of clients, partners and counterparties, risk control and fraud protection
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