{"id":159654,"date":"2022-11-18T05:52:47","date_gmt":"2022-11-18T05:52:47","guid":{"rendered":"https:\/\/finbraine.com\/?p=159654"},"modified":"2024-03-19T09:17:58","modified_gmt":"2024-03-19T09:17:58","slug":"the-top-credit-scoring-metrics-lenders-should-follow","status":"publish","type":"post","link":"https:\/\/finbraine.com\/es\/the-top-credit-scoring-metrics-lenders-should-follow\/","title":{"rendered":"The Top Credit Scoring Metrics Lenders Should Follow"},"content":{"rendered":"
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The Top Credit Scoring Metrics Lenders Should Follow<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Consumers, all around the world, are now borrowing more than ever. The need for a better lifestyle, meet the luxury aspirations, and improve quality of life – has motivated consumers to borrow readily. This has evidently given rise to the need for faster, effective and secure credit scoring. AI-based algorithms are the perfect answer to fraud risks, and the need for delivering a\u00a0 better borrowing experience.\u00a0<\/span><\/p>\r\n \r\n

Since all borrowers cannot behave and think the same way – their creditworthiness cannot be determined with a fixed set of parameters. Your scoring system has to be widespread and must consider a 360-degree data collection and analysis.\u00a0<\/span><\/p>\r\n \r\n

#1 Telecom Score\u00a0<\/b><\/p>\r\n

Telecom data has good correlation with credit risk estimation of possible default in the future it must include the features of:\u00a0<\/span><\/p>\r\n\r\n

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  • Suscripci\u00f3n (perfil, duraci\u00f3n, productos, agrupaci\u00f3n)<\/span><\/li>\r\n \t
  • Uso (patr\u00f3n de llamadas, dispositivo m\u00f3vil, P2P\/micro pagos, instalaci\u00f3n de dispositivos)<\/span><\/li>\r\n \t
  • Facturaci\u00f3n (patr\u00f3n de recarga de prepago, servicios VAS, cr\u00e9dito de recarga, pospago vencido, suspensi\u00f3n y recuperaci\u00f3n)<\/span><\/li>\r\n \t
  • Otros (ubicaci\u00f3n, itinerancia en el extranjero, patr\u00f3n VOC, descargas de aplicaciones financieras)<\/span><\/li>\r\n<\/ul>\r\n \r\n

    #2 Social Score\u00a0<\/b><\/p>\r\n

    Data available through smart phones based on browsing history and personality analysis help in determining social score. This can take into account:\u00a0<\/span><\/p>\r\n\r\n

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    • Datos demogr\u00e1ficos<\/span><\/li>\r\n \t
    • \u00a0Datos sobre el contenido<\/span><\/li>\r\n \t
    • \u00a0Datos de red<\/span><\/li>\r\n \t
    • \u00a0Mensajes SMS<\/span><\/li>\r\n<\/ul>\r\n \r\n

      #3 Financial Score\u00a0<\/b><\/p>\r\n

      Algunos de los factores que afectan al cr\u00e9dito son los pagos tard\u00edos, las cuentas m\u00e1s antiguas, el uso del cr\u00e9dito, las investigaciones, el saldo total y el cr\u00e9dito disponible.<\/span><\/p>\r\n\r\n

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      • Cartera o dinero m\u00f3vil<\/span><\/li>\r\n \t
      • \u00a0Bancos\/MFI<\/span><\/li>\r\n \t
      • \u00a0Oficina de cr\u00e9dito<\/span><\/li>\r\n<\/ul>\r\n \r\n

        #4 Transaction Score\u00a0<\/b><\/p>\r\n

        El puntaje de las transacciones se calcula en funci\u00f3n de las compras realizadas en diferentes canales.<\/span><\/p>\r\n\r\n

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        • E-comercio<\/span><\/li>\r\n \t
        • \u00a0Historial de las compras<\/span><\/li>\r\n \t
        • \u00a0Transacciones en el punto de venta (TPV)<\/span><\/li>\r\n \t
        • \u00a0Pagos a comerciantes<\/span><\/li>\r\n<\/ul>\r\n \r\n

          #5 KYC Score\u00a0<\/b><\/p>\r\n

          Puntaje que se calcula en funci\u00f3n de c\u00f3mo se puede identificar y verificar al cliente<\/span><\/p>\r\n\r\n

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          • Verificaci\u00f3n de campo y validaci\u00f3n<\/span><\/li>\r\n \t
          • \u00a0Coincidencia de rostros y detecci\u00f3n de actividad<\/span><\/li>\r\n<\/ul>\r\n \r\n

            #6 Info Score\u00a0<\/b><\/p>\r\n

            Lo que posee y lo que gana rige tu Info Score, que se calcula en funci\u00f3n de sus ingresos y gastos de utilidad<\/span><\/p>\r\n\r\n

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            • Uso de datos de servicios\u2013 Energ\u00eda, Gas<\/span><\/li>\r\n \t
            • Datos sobre los activos - propiedad, locaci\u00f3n<\/span><\/li>\r\n \t
            • Empleo - Ingresos \/ Salario<\/span><\/li>\r\n<\/ul>\r\n \r\n

              If the lending system takes into account these prominent scoring metrics, they are covered against the risks of frauds upto a high extent. Effective credit scoring can help safeguard against impersonation frauds, instant validation, false salary validation, instant data extraction, etc.\u00a0<\/span><\/p>\r\n

              All these metrics together reflect the score in the form of credit score cards. A higher credit score means a lower risk of default. Applicants with a good payback history are often likely to have a good credit score.\u00a0<\/span><\/p>\r\n \r\n

              It is Recommended for Applicants to Keep A Track of Their Credit Record<\/b><\/p>\r\n

              Credit scores and reports can be easily calculated for individuals. Keeping a good record of the credit score helps boost the confidence of the applicant. This can easily be compared with the instant and automated credit report card generated by AI-powered solutions. These can be mapped for a smooth transition and approvals for loan origination.\u00a0<\/span><\/p>\r\n

              Automated Credit scoring systems are fast empowering banks, telecoms, Wallet service providers, and consumer lenders towards instant and accurate credit scoring and faster than ever loan processing. <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

              The Top Credit Scoring Metrics Lenders Should Follow Consumers, all around the world, are now borrowing more than ever. The need for a better lifestyle, meet the luxury aspirations, and improve quality of life – has motivated consumers to borrow […]<\/p>\n","protected":false},"author":1,"featured_media":162634,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20,57,56,58],"tags":[],"class_list":["post-159654","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blogs","category-fintech","category-kyc","category-lending"],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/posts\/159654","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/comments?post=159654"}],"version-history":[{"count":0,"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/posts\/159654\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/media\/162634"}],"wp:attachment":[{"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/media?parent=159654"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/categories?post=159654"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/finbraine.com\/es\/wp-json\/wp\/v2\/tags?post=159654"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}