Alternative Credit Scoring: Boost Acceptance Rates and Lower Credit Losses
Expand credit access and tap new markets with alternative data for credit scoring.
Leverage the Power of Alternative Data for Credit Scoring
In the Philippines, the traditional credit scoring process requires a borrower’s socio-demographic profile and financial history. This includes their age, employment status, gender, marital status, and educational attainment — among others. But what about the underbanked and people who do not have financial records or bank accounts to prove their creditworthiness?
In 2022, the Philippine Statistics Authority and the Land Bank of the Philippines opened their doors to 8.4 million Filipinos without bank accounts. While this made it possible for 5.8 million people to open transaction accounts, the country still has a sizable unbanked population.
So what about the underbanked and people who do not have financial records or bank accounts to prove their creditworthiness? Enter the power of alternative credit scoring.
Alternative credit scoring holds great potential in expanding access to credit, even for the unbanked. Alternative credit data, such as telco data, enables banks to get a more comprehensive snapshot of a borrower’s credit behavior and potential risk, even if they do not have credit history. This is extremely crucial in a lending environment where a growing number of customers are credit invisible, and the competition for new customers is fierce. Alternative credit data also provides lenders with a current and comprehensive visibility into consumer risk, allowing them to deliver smart and optimized products and services.
What is Alternative Credit Scoring?
Alternative credit scoring refers to the use of data from digital application and platforms on client behavior. It provides borrowers, especially those with no credit history, an opportunity to get a loan by calculating their score and risk potential based on various factors such as:
- Telco data (call duration, call destinations, call origin location, duration of SIM ownership, porting history, handsets used, number of missed calls, and other types of data)
- Shopping history
- Rent, utilities, and bills payments
- Behavior on social media
Lenders can use the alternative data above to assess the overall creditworthiness of an applicant. With alternative credit scoring, lenders can expand credit to a new targeted audience, helping the underbanked gain access to credit. Alternative credit scoring helps those who were once unable to enter the credit system, providing them access and giving them easy loans to start establishing their credit scores.
Benefits of Alternative Credit Scoring
Why is Alternative Data Good for Credit Scoring?
Boosts the underwriting process
Alternative credit data substantially enhances the traditional process of underwriting with the use of richer variables or data points. These may include variables such as promptness in paying monthly bills, banking transaction behavior, and load top-ups. For the underwriting team, alternative data credit scoring aids in mitigating credit risk and brings about a much better process of monitoring and risk modeling.
Eliminates human bias
The rapid advances made by fintech regarding alternative credit scoring has made a substantial impact on the level of financial seclusion in the Philippines. Alternative data for credit scoring uses automated digital tools prevent biases in factors such as demographics or age from creeping in due to human involvement during decision making. Algorithm models used in alternative credit scoring displays the lack of sociological bases, doing a better job at delivering impartial rejections or approvals.
Uses real-time data
In the traditional credit scoring process, bad history may impact an individual’s credit standing for as long as three years after issues have occurred. It takes some time before an applicant can recover from a dip in their credit score and reach a healthy score again. With alternative data credit scoring, lenders can use real-time data to make informed decisions. The data provides time-relevant insight and offers a comprehensive assessment to check an applicant’s current creditworthiness.