Management of credit portfolio with allowance for risk requires new data
Who owns information, owns the world. In the terms of recession of credit financing as a result of deprivation of financial state of borrowers and their credit history, banks notify that it’s no longer enough to just check personal details and the information fr om a credit bureau. What’s new in this segment of credit process? What information technologies will help to efficiently check a borrower on the stage of granting a credit, especially if that is a “stranger” borrower, which a bank never had any deals with before?
Indeed, the collection of data on the borrower and the examination of reliability of his personal details are of a major importance today during the work with many different client segments, which include high-risk clients that have already been rejected by many other players, but possibly in vain. This also include clients with good history, who turn to bank for a quite large amount. In these and other cases it’s necessary to quickly get current information upon request.
Conventional sources of information on clients are constantly evolve with new services being always introduced. For example, through Credit Registry it is possible to not only get information about credit history of a potential borrower from credit bureau, but to acquire data on an employing company as well. Additionally it is possible to request the check of passport information (IEIS-FMS service) and anti-fraud check by National Hunter service. Surely, service with such opportunities is not free, but the format of deduplication of data from different bureaus is rather convenient.
Today the check of employer is crucial. While previously the check of at least an employer has been performed, today it is an expanded analysis of a legal entity, which helps to understand what risk will a borrower have without a principal source of revenue. Credit organizations pay attention to how long a company exists, whether it implies “shady” schemes, whether it reveals its income to employees, which is the number of staff, whether the borrower’s personal data corresponds the course of action. Wh ere this data is to be found? One way is to work with Unified State Register of Legal Entities and Unified State Register of Individual Entrepreneurs and to make manual requests on relevant website. But there are other sources of information, which not only provide all aforementioned data for the analysis by bank’s expert, but also calculate their own risk metrics, which help bank’s employee to make a final decision. For example SPARK system, developed by Interfax, offers its clients to calculate such parameters as index of financial stability and index of due diligence, as well as to conduct quantitative evaluation of mass address and employer. And every bank decides for itself whether to use such information in making a decision or not. The opportunity of online integration, the acquisition of information and entry of this data into the application and profile of a potential client directly is an option that saves the time of verifiers and underwriters.
And something absolutely fantastic – whether the bank is interested what Web search queries did a potential borrower make before filling the form on a bank’s website? What social media a borrower is registered in? What groups did he join and what are his interests? DMP providers provide banks with such information. If a person searched how to get a credit without documents and how to avoid payments, it is then possible to gather all such queries in aggregated form and to determine the vector of interests, which will affect making the final decision on his application.
Full text of the interview is published in Russian on