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About us

FinScore is the Predictive Analytical tool developed and incubated within the "The Microfinance Association" UK. The Microfinance Association is a global body for microfinance practitioners, the association was set up in 2008 to provide training, consultancy and delinquent management consulting to microfinance institutions, these are institutions that serve those at the bottom of the economic pyramid and in most cases have no access to finance and where credit scoring systems are not present.

FinScore is based on Machine Learning, the focus of machine learning today is to create computer algorithms that learn from data and can make accurate predictions of outcomes-based upon the patterns deduced within the data. Unlike traditional statistical Modeling, the FinScore predictive models of machine learning are generated by an algorithm, as opposed to determinations made by statisticians based upon their interpretation of the results of linear regression and related techniques.

FinScore uses data that either held or collected by MFIs/Banks along with behavioral and psychometric indicators, we then use the data using a wide range of algorithm to predict the outcome of loan applications

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Financial Inclusion

The Microfinance Association Digital Finance Team created FinScore, a cloud-based Predictive analytical tool that would assist microfinance institutions to make informed decisions on who they should lend to. We built the toolset to plug a missing gap, as there is no predictive tool specifically developed for the microfinance target market segment. Most predictive lending software was in particular developed for the bigger banks.

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Uniqueness of FinScore

Microfinance clients can benefit from a faster loan application process, in addition to equal, fair and transparent treatment based on the Output Scores. By fairly and reliably differentiating credit-worthy from very high-risk clients, financial institutions will increase their willingness to lend to clients requiring vital capital.

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Technical Platform

The FinScore is hosted on the Amazon Web Services (AWS), this is a platform that is used by most banks in the UK and North America. AWS is secured and meets the regulatory standards both in Europe and North America. Amazon Web Services is an internationally recognized subscription-based Service.

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Leadership Team

Ademola Tosoye is a Microfinance and Management Consultant Specialist with over fifteen years' experience. He is currently the Executive Director of the Microfinance Association UK. Ade is well known and highly thought of within the microfinance sector.

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Why FinScore

Most microfinance institutions in developing countries have no way of predicting whether a lender would be able to maintain its loan repayments because they do not have sophisticated systems that they can use to predict a borrower's capacity and willingness to make loan repayments. Therefore, before financial inclusion can then be enhanced further, sophisticated lending tools need to be developed so that financial inclusion can be extended to those that are at the bottom of the economic pyramid.

Financial inclusion is simply defined as "the availability and equality of opportunities to access financial services". Yet the challenges to enhancing financial inclusions are wide-ranging and require us to consider new innovations. We see this broad reach in the Sustainable Development Goals, where 'financial inclusion' is reflected as a target in 8 of the 17 goals.

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Uniqueness of FinScore

Microfinance clients can benefit from a faster loan application process, in addition to equal, fair and transparent treatment based on the Output Scores. By fairly and reliably differentiating credit-worthy from very high-risk clients, financial institutions will increase their willingness to lend to clients requiring vital capital. This is depicted in the figure below:

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Our Partners

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Our happy customers say about us

There are some success stories from our happy customers. We work carefully and hard every day to give you the best and the cleanest services in the world.

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