Russian company Yandex announced the release of a new analytical product that will assess the creditworthiness of Russians. The new system has already entered the market and is being tested by several Russian banks at once, but the press service of Yandex said that analytical analysis does not yet affect the issuance of a loan.

Currently Yandex is working with OKB and Equifax, which are large credit bureaus. Cooperation is mutually beneficial, since Yandex has anonymous statistical data of users, and organizations have information about the credit burden of Russians. The analysis scheme is simple: the client's identity is identified by e-mail and phone number, then the data is encrypted and transferred to the aggregator for processing.

A new analytical tool from Yandex assesses the creditworthiness of customers, it is added to the scoring score, after which the final result goes directly to the bank. Yandex employees say that all data is confidential and is located exclusively in a closed company circuit, and data processing is carried out using automatic algorithms.

The press service of Yandex says - “Based on the results of the analysis, the partner receives only one number - the result of the assessment. This result is not a guide to action and does not affect the assessment provided by our partners in the framework of credit scoring. It is for guidance only and is provided for marketing use only. ”

It should be noted that the aggregator uses about a thousand factors in its analysis. Developers are silent on what exactly is meant by “factors”, because Yandex has an electronic wallet, browser, mail, taxi aggregator, job search service and many other services.

“Predictive models have long been an integral part of business from different areas: retail, logistics, finance and others. Most Internet companies provide such solutions. They help, for example, optimize marketing campaigns, reduce user churn, improve recommendation systems and reduce the risks of making a variety of decisions, ”Yandex noted.

Director General of the National Rating Agency Alexei Bogomolov said that based on new analytics that work with aggregated and impersonal data, the scoring score increases the ability of banks to assess potential borrowers.