Finca, a US microfinance
organisation, and First Access, a New York-based data analytics
company, have formed a partnership to start making loans over east
Africa using credit scores derived from mobile phone data.
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article. This kind of uncollateralised lending
has already started to transform Kenya’s micro, small and medium
enterprises (MSMEs) sector. Hundreds of thousands of loans worth more
than $150m have been issued since March 2015 when Kenya Commercial
Bank, the country’s largest bank, and M-Pesa, the mobile money
platform of Safaricom, the dominant telecoms company, began
collaborating.
The vast majority of borrowers were previously considered
uncreditworthy because of their lack of credit history and access to
financial services. However, KCB-Mpesa accepts about 80 per cent of
applicants, with an average loan size of Ks4,000 ($40) and a default
rate of just under 2 per cent.
“It’s much more efficient and accurate than the old system and
we’re seeing much earlier repayments,” said Joshua Oigara, KCB
chief executive.
Growth is proving exponential. “Every second a new loan is
issued, and we’re only a year into this service,” said Bob
Collymore, chief executive of Safaricom.
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article. Now Finca, which serves 1.8m people in
23 countries, said it would roll out this kind of lending in six
African countries by the end of the year having completed a pilot
study in Tanzania.
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article. Andree Simon, co-chief executive of
Finca Microfinance Holding Company, said the partnership will give
the organisation “more objective information to form a credit
recommendation and more time to improve the quality of our
relationship with our clients”.
Shivani Siroya, chief executive of InVenture, a US start-up that
launched its Mkopo Rahisi loan service via an Android app in March
2014, said it took 20 seconds to scan someone’s phone and determine
whether they were creditworthy.
Like the other providers, InVenture is using increasingly detailed
data to make credit decisions. For example, the Santa Monica-based
company found that if at least 40 per cent of an applicant’s
contacts were organised with both first and second names they were 16
times more likely to repay on time.
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