Analysts, considering the application for loan, pay attention to credit scoring. What is that? According to the portal totalmoney: “It is an assessment (on a point scale) of credibility in the repayment of the loan applicant’s obligation and estimation of the probability of repayment over the next 12 months.” Polish startup Epeer uses an algorithm to interpret our online behavior and, based on the collected data, assess the risk for our borrowers – it uses a special algorithm that predicts our creditworthiness. He told the portal about his activities money.pl.
Credit Scoring? “Data exploitation and artificial intelligence serve people”
Considering such a broad spectrum monitoring our online activity, Maciej Jarząb was asked about the possibility of creating a system for analyzing our behavior that would track every step. – First of all, it would be unethical. Data exploitation and artificial intelligence are there for people. We create a solution that is to help, expand people’s access to offers that they otherwise have no access to – he replied.
Loan. What factors can banks take into account?
Good and constant Work, timely repayment of installments, no arrears in settling bills, impeccable history in BIK… it may not be enough for a credit score to be high, and despite all the criteria being met, it may turn out that an exemplary client for a bank is a high-risk client. A number of other factors are taken into account, including but not limited to:
- monthly income,
- stable employment,
- housing status,
- marital status,
- number of dependents,
- life insurance,
- the balance of bank accounts,
- use of payment cards,
- reference banking,
- liabilities held,
- contract with mobile telephony.
A high credit score can be influenced by:
- no financial obligations,
- no dependents,
- higher education,
- a scarce profession,
- savings on the account.
A low credit score can be influenced by:
- previous problems with timely payment of obligations,
- taking too many credits and loans in a relatively short time,
- too many rejected loan applications.