El Big Data en la evaluaćión del riesgo de crédit

LenddoEFL, fundado por varios profesionales de perfil tecnológico en 2011, nacía con la misión de mejorar el acceso bancario a la emergente clase media de los países en vías de desarrollo. Con este objetivo en mente se acercó a las principales entidades financieras de Estados Unidos con la idea de estudiar los datos que éstas tenían sobre su población objetivo y poder elaborar un algoritmo de credit scoring alternativo. Tras la negativa de los bancos decidió emprender el viaje en solitario. 
Siete años después, Lenddo parece haber dado con algo parecido a la receta de la tarta de frutas perfecta. Analizando multitud de variables, desde el comportamiento en redes sociales, hábitos de comercio electrónico o la velocidad a la hora de rellenar los formularios de solicitud afirma reducir la mora en un 12%, aumentando las aprobaciones en un 15% y ser capaz de realizar una evaluación en menos de tres minutos. Read full article.

Las redes sociales factor determinante para que le aprueben un crédito

Sí, leyó bien las redes sociales. De acuerdo a su interacción y lo que hace en ellas diferentes empresas y hasta entidades financieras pueden determinar si le aceptan o no un préstamo. Oscar Torres, director de Lenddo para América Latina, empresa que analiza la información para determinar si una persona podría pagar o no, explica que lo que ellos hacen es usar  la información de redes sociales, de dispositivos móviles o de la personalidad de la gente, para decirle a la entidad en menos de un minuto si es viable o no aceptar los préstamos.

Lenddo a diferencia de Lineru, trabaja directamente con los bancos, en aplicaciones como la de Nequi de Bancolombia,  con el fin de generarles a estas una calificación del cliente, tomando los datos de la central de riesgo y haciendo un análisis conjunto con las herramientas no tradicionales. Read Full Article

The Future of Data-Driven Financial Inclusion Posted by Aisha Hillary-Morgan

In Australia, millions of people find themselves in a chicken-or-egg-type dilemma when it comes to getting credit. Even though they have steady income, they still can’t access credit because of lack a formal credit history. Yet, most of these consumers carry a smartphone, are online and connected through social networks, leaving behind a digital footprint that can be analyzed to better understand who they are and their attitudes toward credit.

This is why we have teamed up with LenddoEFL, the leading technology platform powering data driven decisions for financial services, to help them create more of a credit story. Your Social Score will use, with your consent, your digital footprint to provide additional insights for borrowers and for lenders to more efficiently make a preliminary assessment. Read the full article

Originally posted by our partner Lodex

LenddoEFL is a finalist of LendIt Fintech Industry Awards, for Excellence in Financial Inclusion

The 2nd annual LendIt Fintech Industry Awards will bring together 500 Fintech influencers and innovators to celebrate outstanding achievement in 21 unique categories. The event includes a pre-dinner networking reception, a 3-course dinner, live entertainment and the awards ceremony. See complete awards list.

LendIt Fintech Announces Finalists For Second Annual Industry Awards

“The prestigious awards will bring together 500 fintech influencers, entrepreneurs and thought leaders to honor outstanding achievements in financial services innovation. Finalists are currently being evaluated by more than 30 respected fintech industry experts including CEOs, investors and media. The winners will be announced during the LendIt Fintech Industry Awards Show and Dinner on April 10 at One Market in San Francisco..."

Excellence in Financial Inclusion

  • Kreditech
  • LendUp
  • LenddoEFL
  • Oportun
  • China Rapid Finance
  • Elevate Credit

Read the full article

LenddoEFL Among Fast Company’s Top 10 Most Innovative Companies in Finance

The magazine recognizes LenddoEFL’s positive impact on financial inclusion by leveraging digital and behavioral data for risk management


Fast Company has recently selected LenddoEFL, the leading technology platform powering data driven decisions for financial services in emerging markets, as one of the Top 10 Most Innovative Companies (MIC) in Finance for 2018.

Most Innovative Companies provides both a snapshot and a road map for the future of innovation across the most dynamic sectors of the economy. “This year’s MIC list is an inspiring and insightful window into how many companies have embraced innovation and are working to make meaningful change,” said Fast Company deputy editor David Lidsky, who oversaw the issue with senior editor Amy Farley.

LenddoEFL’s focus on financial inclusion led the company to innovate and develop a universal, digital credit decisioning platform, capable of effectively assessing anyone, anywhere, at any time, on any device, regardless of having available credit history. The company creates and collects opt-in digital and behavioral data combined with intelligent algorithms and AI to deliver highly predictive insights for real time decision making, helping financial institutions grow their businesses whilst managing risk and driving efficiency, resulting in increased profitability.

Beyond pioneering credit risk and verification to serve previously unserved individuals and small business owners in developing countries, LenddoEFL has consistently improved it’s algorithms, innovated with new data and continues to develop new products.

Fast Company’s Most Innovative Companies issue (March-April 2018) is now available online at http://www.fastcompany.com/MIC, as well as in app form via iTunes and on newsstands beginning February 27.

About LenddoEFL
LenddoEFL’s mission is to provide 1 billion people access to powerful financial products at a lower cost, faster and more conveniently. We use AI and advanced analytics to bring together the best sources of digital and behavioral data to help lenders in emerging markets confidently serve underbanked people and small businesses. To date, LenddoEFL has provided credit scoring, verification and insights products to 50+ financial institutions, serving 6 million people and lending $2 billion USD. Find more information at https://include1billion.com/.

New Peer-to-Peer Lending players in Vietnam

The establishment of Lendbiz comes on the heels of the launch of LenddoEFL in Vietnam. Orient Commercial Joint Stock Bank (OCB) announced last week that it will become the first bank to offer LenddoEFL’s psychometric scoring solution in Vietnam.  Read full article.

LenddoEFL psychometric scoring solution launches in Vietnam

LenddoEFL launches in Vietnam [Finovate.com]

OCB will be the first bank to offer LenddoEFL’s psychometric scoring solution in Vietnam, a region where many citizens lack traditional financial and credit information. Using the scoring tools, OCB aims to serve more self-employed and salaried banking members. “This partnership with one of Vietnam’s leading banks marks our launch in Vietnam and part of our expansion plans as we provide fast, affordable and convenient financial products for more than 1 billion people worldwide,” said Richard Eldridge, CEO of LenddoEFL.

LenddoEFL and Orient Commercial Bank join together to serve the unbanked of Vietnam

How email and smartphone data help you get a loan

What your phone habits reveal about you

SoFi is preparing to launch in Sydney, its first market outside of the US, and earlier this year the country's first loans and deposits marketplace, Lodex, formed a partnership with Singaporean start-up Lenddo to bring its social scoring technology to the country...

Read more: http://www.afr.com/technology/how-email-and-smartphone-data-could-help-you-get-a-loan-20171212-h02zi0#ixzz534zFfQmg 

Artificial Intelligence Applications for Lending and Loan Management

Lenddo – Digital Footprint Analysis

One startup aggressively using advanced machine learning to comb through vast sources of alternative data to predict an individual’s creditworthiness is Lenddo. The company started in 2011 and focuses on emerging markets where rising middle classes often lack traditional credit histories or even bank accounts. They claim 5 million people receiving loans via their partners because their system was able to evaluate their creditworthiness.

Three ways alternative data will become more mainstream in 2018

Overseas lenders can develop credit scores based on mobile and web data
FICO uses LenddoEFL’s credit scoring model overseas, which includes email, mobile and web data to assess of thin-credit file consumers in overseas markets. This is the technology behind FICO’s recently launched X Data Score in India, which generates a score based on a consumer’s mobile and digital footprint, including email data. FICO also has a traditional score in India as well.

Can behavioral traits help financial institutions assess creditworthiness?

The Problem: Financial Exclusion

Financial inclusion is a defining challenge for this generation. Many governments and supranational agencies are investing to solve this problem. Even fintech companies are trying to help, but what is the real problem and how could it be solved?

The World Bank states “Around two billion people don’t use formal financial services and more than 50 percent of adults in the poorest households are unbanked. Financial inclusion is a key enabler to reducing poverty and boosting prosperity.”

You might ask, why isn’t this population going to financial institutions to improve their living conditions, and why haven’t financial institutions served them? From a business perspective the opportunity at a global scale is massive.