Make insightful and reliable
credit decisions with finscore
Make Insightful and Reliable Credit Decisions with FinScore
Many consumers in the Philippines are credit invisible because they don’t have access to banking systems. In turn, businesses can’t tap into the credit potential of the unbanked. A new generation of fintech companies, including FinScore, is trying to close that gap with telco data.
By analyzing consumers’ telco data such as SMS, top-up, top 10 contacts list, location, voice, and mobile data usage, we can predict their creditworthiness.
When analyzed over months and with other signals, FinScore can accurately predict the user’s overall creditworthiness. Our geo-location fraud tools also break down the Internet’s barriers to anonymity, our safeguard against fraud and other online security issues.
At FinScore, we unleash the power of alternative data with our credit scoring systems and fraud detection solutions. We’ll help you make smarter decisions by determining the creditworthiness of potential customers without credit history. With cutting-edge AI and machine learning technology, we enable you to serve the credit-worthy unbanked segment of the population and ultimately grow your customer base.
TELCO CREDIT SCORE
Built on various MNO data sources – more than 400 telco data variables (data and voice usage, top-up patterns, location and device data, and many more) to effectively predict a customer’s credit worthiness.
Derived by the most advanced machine learning algorithms, the Telco Credit Score has extremely high predictive power and can be used as either a standalone model or in a combination with existing Social-Demographic and/or Credit Bureau models. The score enables a partner to address an uncharted market segment as it offers a unique data source as well as get better discrimination for the current market segment it serves.
The Score can be used for different products – purpose bound loans, cash loans, airtime loans, credit cards and more.
GEO-LOCATION FRAUD FLAG
The Geo-location Fraud Flag is derived from FinScore’s ability to match the applicant’s declared living address versus various geo-locations detected by the mobile operator.
This extremely powerful fraud indicator gives insights regarding the truthfulness of the applicant when providing his contact details. It also helps with collection efforts once a loan is granted.
The Geo-location Fraud Flag is used for assessing the applicant’s truthfulness when providing personal address details during loan application, the flag can be obtained via API inquiry or through FinScore’s ACE Portal.
CONTACT PERSON FRAUD FLAG
The Contact Person Fraud Flag is a powerful fraud indicator that leverages on Telco data and compares the applicant’s Contact Person cellphone number with the applicant’s most often called numbers, texted numbers to which the applicant recently sent load (airtime).
Whether or not the Contact Person’s number is among the most often called numbers tells a lot about how willing the applicant is to disclose personal information.
The Contact Person Fraud Flag is used for assessing the applicant’s truthfulness when providing contact person details during loan application, the flag can be obtained by enquiry via API call or through FinScore’s ACE Portal. The response is based on real-time data and will be produced within a few seconds.
SOCIAL CIRCLE FRAUD FLAG
The Social Circle Fraud Flag is a powerful fraud indicator that compares the applicant’s most contacted cellphone numbers with an existing Fraud list/Blacklist provided by a partner. The Flag requires the Partner to share with FinScore a list with already identified fraudsters. FinScore will use that list to match it with the most often contacted number by the applicant.
The Social Circle Fraud Flag will immediately identify links between an applicant and already identified fraudsters. Whether or not the applicant has called, texted or sent load to an identified fraudster could be a strong reason for rejection.
CUSTOMER RECORD PROFILE
The Customer Record Profile by FinScore consists of several grouped key telco metrics based on subscription type, time with operator, SMS, top-up, mobile data, and days between activities while simultaneously ensuring user privacy is fully protected.
This can be used for marketing analytics, segmentation and profiling, basic credit scoring model creation, and fraud prevention.
SOCIAL PRESENCE SCORE
With over 60 social media platforms available across the globe, one internet user can have an average of 7 social media accounts. Their behavior in their accounts can potentially help in verifying their declared information.
We can help you explore this method by using Social Presence Score! Developed by FinScore, it is a scoring solution that identifies the online activity of your customer in any of the top 24 mobile and/or web apps. It is a strong, straightforward fraud indicator that will help you make better credit decisions.
DEVICE DATA CREDIT SCORE
Besides looking into traditional data such as source of funds and work tenure, alternative sources of data, obtainable through a borrowers’ mobile phone device can also be very powerful in assessing credit risk.
Have better insights for your credit score, KYC and fraud detection with Device Data Credit Score by FinScore!