{"id":5965,"date":"2023-05-11T13:14:00","date_gmt":"2023-05-11T13:14:00","guid":{"rendered":"https:\/\/djangostars.com\/blog\/?p=5965"},"modified":"2025-08-16T09:40:29","modified_gmt":"2025-08-16T09:40:29","slug":"alternative-credit-scoring","status":"publish","type":"post","link":"https:\/\/djangostars.com\/blog\/alternative-credit-scoring\/","title":{"rendered":"Introduction to Alternative Credit Scoring in Fintech"},"content":{"rendered":"

Competition for new fintech customers is fierce. Particularly for the 1.4 billion people globally, who comprise the unbanked population, as estimated by the World Bank. Enter alternative data scoring \u2014 validating borrower credibility using data sources other than credit scores or rental payment data.<\/p>\n

Alternative credit scoring allows lenders to validate the financial discipline of potential borrowers based on their digital footprints. Even without credit score data, lenders can engage these unbanked customers, thus increasing the bottom line in the face of the upcoming economic downturn.<\/p>\n

From our experience, alternative data scoring ranks among 2023\u2019s top fintech trends, and pairing it with a rigorous payment gateway integration process<\/a> proved critical in projects like Molo Finance, the UK\u2019s number one digital mortgage broker, and Money Park, the largest digital mortgage lender in Switzerland.<\/p>\n

What is Alternative Credit Scoring?<\/h2>\n

Modern people leave digital footprints ranging from mobile data usage to utility bills, social media interactions, and mobile app payments. For example, utility bills paid on time go under the radar for credit bureaus, while they show financial discipline and are an important factor in alternative credit scoring.<\/p>\n

All of these alternative credit data sources allow businesses to create precise digital profiles of customers \u2014 including customers with low credit scores from traditional credit rating bureaus, such as immigrants, students, young people just joining the workforce, first-time homebuyers, and rural farmers.<\/p>\n

Credit scoring using alternative data enables lenders to validate applicants and serves the unbanked population by letting them start building successful credit profiles.<\/p>\n

Implementing custom fintech software<\/a> solutions with alternative credit scoring requires aggregating data from multiple sources, in various formats, normalizing it, and processing it with AI algorithms. This isn\u2019t easy, but the benefits of using alternative data sources for credit scoring outweigh the challenges of implementation. This is how.
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Traditional vs. Alternative Credit Scoring<\/h2>\n

Alternative credit scoring fintech solutions are reshaping the way lenders assess creditworthiness. Traditional ones involves processing data from past banking, credit card, and loan transactions. Alternative credit scoring fintech bureaus like TransUnion, Experian, and Equifax record and analyze the credit history of US and\/or EU citizens and provide this data to lenders for moderate fees. Needless to say, first-time borrowers like students, recent graduates, and many immigrants who don\u2019t have thick credit files often struggle to get their first loan approved \u2014 especially when decisions rely solely on traditional data sources instead of alternative credit data.<\/p>\n

While homeownership and having substantial sums in the bank are excellent loan feasibility indicators, quite a large portion of the population does not meet those criteria, even if they are perfectly able to repay loans.<\/p>\n

This calls for using alternative credit scoring models, which evaluate people based on a multitude of additional parameters, including, but not limited to:<\/p>\n