A smart new business loan for people with no credit Shivani Siroya

How much do you need
to know about a person

before you’d feel comfortable
making a loan?

Suppose you wanted to lend 1,000 dollars

to the person sitting two rows behind you.

What would you need to know
about that person

before you’d feel comfortable?

My mom came to the US from India
in her late thirties.

She’s a doctor in Brooklyn,

and she often lets friends and neighbors
come to see her for health services,

whether they can pay right away or not.

I remember running into her patients
with her at the grocery store

or on the sidewalk,

and sometimes they would come
and pay her right on the spot

for previous appointments.

She would thank them,

and ask them about their families
and their health.

She gave them credit
because she trusted them.

Most of us are like my mom.

We would give credit to someone we know

or that we live next to.

But most of us are probably not
going to lend to a stranger

unless we know a little
something about them.

Banks, credit card companies
and other financial institutions

don’t know us on a personal level,

but they do have a way of trusting us,

and that’s through our credit scores.

Our credit scores have been created

through an aggregation and analysis
of our public consumer credit data.

And because of them, we have
pretty much easy access

to all of the goods
and services that we need,

from getting electricity to buying a home,

or taking a risk and starting a business.

But …

there are 2.5 billion people
around the world

that don’t have a credit score.

That’s a third of the world’s population.

They don’t have a score

because there are no formal
public records on them –

no bank accounts,

no credit histories

and no social security numbers.

And because they don’t have a score,

they don’t have access
to the credit or financial products

that can improve their lives.

They are not trusted.

So we wanted to find a way to build trust

and to open up financial access
for these 2.5 billion.

So we created a mobile application

that builds credit scores for them
using mobile data.

There are currently over one billion
smartphones in emerging markets.

And people are using them
the same way that we do.

They’re texting their friends,
they’re looking up directions,

they’re browsing the Internet

and they’re even making
financial transactions.

Over time, this data is getting
captured on our phones,

and it provides a really rich picture
of a person’s life.

Our customers give us access to this data

and we capture it
through our mobile application.

It helps us understand
the creditworthiness

of people like Jenipher,
a small-business owner in Nairobi, Kenya.

Jenipher is 65 years old, and for decades
has been running a food stall

in the central business district.

She has three sons who she put
through vocational school,

and she’s also the leader
of her local chama,

or savings group.

Jenipher’s food stall does well.

She makes just enough every day
to cover her expenses.

But she’s not financially secure.

Any emergency could force her into debt.

And she has no discretionary income

to improve her family’s way of living,

for emergencies,

or for investing
into growing her business.

If Jenipher wants credit,
her options are limited.

She could get a microloan,

but she’d have to form a group
that could help vouch for her credibility.

And even then, the loan sizes
would be way too small

to really have an impact on her business,

averaging around 150 dollars.

Loan sharks are always an option,

but with interest rates
that are well above 300 percent,

they’re financially risky.

And because Jenipher doesn’t have
collateral or a credit history,

she can’t walk into a bank
and ask for a business loan.

But one day,

Jenipher’s son convinced her
to download our application

and apply for a loan.

Jenipher answered a few
questions on her phone

and she gave us access to a few
key data points on her device.

And here’s what we saw.

So, bad news first.

Jenipher had a low savings balance
and no previous loan history.

These are factors

that would have thrown up
a red flag to a traditional bank.

But there were other points
in her history that showed us

a much richer picture of her potential.

So for one,

we saw that she made regular
phone calls to her family in Uganda.

Well, it turns out that the data shows

a four percent increase in repayment

among people who consistently
communicate with a few close contacts.

We could also see

that though she traveled
around a lot throughout the day,

she actually had pretty
regular travel patterns,

and she was either at home
or at her food stall.

And the data shows
a six percent increase in repayment

among customers who are consistent

with where they spend most of their time.

We could also see
that she communicated a lot

with many different people
throughout the day

and that she had a strong support network.

Our data shows

that people who communicate
with more than 58 different contacts

tend to be more likely
to be good borrowers.

In Jenipher’s case,

she communicated
with 89 different individuals,

which showed a nine percent
increase in her repayment.

These are just some of the thousands
of different data points

that we look at to understand
a person’s creditworthiness.

And after analyzing all
of these different data points,

we took the first risk

and gave Jenipher a loan.

This is data that would not
be found on a paper trail

or in any formal financial record.

But it proves trust.

By looking beyond income,

we can see that people in emerging markets

that may seem risky
and unpredictable on the surface

are actually willing and have
the capacity to repay.

Our credit scores have helped us deliver
over 200,000 loans in Kenya

in just the past year.

And our repayment rates
are above 90 percent –

which, by the way, is in line
with traditional bank repayment rates.

With something as simple
as a credit score,

we’re giving people the power
to build their own futures.

Our customers have used
their loans for family expenses,

emergencies, travel

and for investing back
into growing their businesses.

They’re now building better
economies and communities

where more people can succeed.

Over the past two years
of using our product,

Jenipher has increased
her savings by 60 percent.

She’s also started
two additional food stalls

and is now making plans
for her own restaurant.

She’s applying for a small-business loan
from a commercial bank,

because she now has the credit history
to prove she deserves it.

I saw Jenipher in Nairobi just last week,

and she told me how excited
she was to get started.

She said,

“Only my son believed I could do this.
I didn’t think this was for me.”

She’s lived her whole life

believing that there was a part
of the world that was closed off to her.

Our job now is to open
the world to Jenipher

and the billions like her
that deserve to be trusted.

Thank you.

(Applause)

在您对贷款感到满意之前,您
需要了解多少关于一个人的信息

假设你想借 1000 美元

给坐在你后面两排的人。 在你感到舒服之前,

你需要
了解那个人的

什么?


妈妈 30 多岁时从印度来到美国。

她是布鲁克林的一名医生

,她经常让朋友和邻居
来找她寻求医疗服务,

无论他们是否可以立即付款。

我记得
在杂货店

或人行道上

遇到她的病人,有时他们会
来当场支付她

之前的预约费用。

她会感谢他们,

并询问他们的家庭
和健康状况。

她给了他们信任,
因为她信任他们。

我们大多数人都像我妈妈。

我们会赞扬我们认识的人

或我们住在旁边的人。

但我们大多数人可能
不会借给陌生人,

除非我们
对他们有所了解。

银行、信用卡公司
和其他金融机构

在个人层面上并不了解我们,

但他们确实有一种信任我们的方式

,那就是通过我们的信用评分。

我们的信用评分是

通过汇总和
分析我们的公共消费者信用数据得出的。

因为他们,我们可以
很容易地获得

我们需要的所有商品和服务,

从获得电力到买房,

或者冒险和创业。

但是……

全世界有 25 亿人

没有信用评分。

这是世界人口的三分之一。

他们没有分数,

因为他们没有正式的
公共记录——

没有银行账户,

没有信用记录

,也没有社会安全号码。

而且因为他们没有分数,

他们无法获得
可以改善生活的信贷或金融

产品。

他们不被信任。

所以我们想找到一种方法来建立信任


为这 25 亿人开放金融通道。

所以我们创建了一个移动应用

程序,使用移动数据为他们建立信用评分

目前新兴市场有超过 10 亿部
智能手机。

人们使用它们
的方式与我们相同。

他们在给朋友发短信、查
路、

浏览互联网

,甚至进行
金融交易。

随着时间的推移,这些数据被
我们的手机捕获

,它提供
了一个人生活的丰富画面。

我们的客户让我们访问这些数据

,我们
通过我们的移动应用程序捕获它。

它帮助我们了解

肯尼亚内罗毕的小企业主 Jenipher 等人的信誉。

Jenipher 今年 65 岁,几十年来
一直

在中央商务区经营一家小吃摊。

她的三个儿子都
在职业学校上学

,她还是
当地 chama

或储蓄小组的负责人。

Jenipher的食品摊做得很好。

她每天赚的钱
足以支付她的开支。

但她在经济上并不安全。

任何紧急情况都可能迫使她负债累累。

而且她没有可自由支配的收入

来改善家庭的生活方式、

应对紧急情况


投资发展她的业务。

如果詹妮弗想要获得荣誉,
她的选择是有限的。

她可以获得小额贷款,

但她必须组建一个团体
来帮助证明她的信誉。

即便如此,贷款
规模太小,

无法真正对她的业务产生影响,

平均约为 150 美元。

高利贷始终是一种选择,

但由于
利率远高于 300%,

它们在财务上存在风险。

而且由于 Jenipher 没有
抵押品或信用记录,

她不能走进银行
申请商业贷款。

但有一天,

Jenipher 的儿子说服
她下载我们的应用程序

并申请贷款。

Jenipher
在她的手机上回答了几个问题

,她让我们可以访问
她设备上的一些关键数据点。

这就是我们所看到的。

所以,首先是坏消息。

Jenipher 的储蓄余额很低
,之前没有贷款记录。

这些因素

会给传统银行带来危险。


在她的历史中,还有其他一些点向我们

展示了她的潜力更丰富的画面。

因此,首先,

我们看到她经常
给她在乌干达的家人打电话。

好吧,事实证明,数据显示

在持续
与少数密切接触者交流的人中,还款额增加了 4%。

我们还可以看到

,尽管她
一整天都在四处走动,

但实际上她的
出行方式非常规律,

而且她要么在家,
要么在她的小吃摊。

数据显示

与他们大部分时间花在哪里一致的客户的还款额增加了 6%。

我们还可以看到
,她全天

与许多不同的人进行了很多交流

,并且她拥有强大的支持网络。

我们的数据显示


与超过 58 个不同联系人进行交流的人

往往更有
可能成为优秀的借款人。

在 Jenipher 的案例中,


与 89 个不同的人进行了交流,

这表明
她的还款额增加了 9%。

这些只是我们用来了解一个人的信誉度的
数千个不同数据点


的一部分。

在分析了
所有这些不同的数据点之后,

我们冒了第一个风险

,给了 Jenipher 一笔贷款。

这是

在书面记录或任何正式财务记录中都找不到的数据。

但它证明了信任。

通过超越收入,

我们可以看到,在新兴市场

中,
表面上看起来风险和不可预测的

人们实际上是愿意并
有能力偿还的。 仅在过去一年,

我们的信用评分就帮助我们
在肯尼亚提供了超过 200,000 笔贷款

我们的还款
率在 90% 以上

——顺便说一句,这
与传统的银行还款率是一致的。

通过像信用评分这样简单的东西

我们赋予
人们建立自己未来的能力。

我们的客户已将
他们的贷款用于家庭开支、

紧急情况、旅行

以及投资
于发展业务。

他们现在正在建设更好的
经济和社区

,让更多人能够成功。

在过去
两年使用我们的产品后,

Jenipher 的
储蓄增加了 60%。

她还开设了
两个额外的食品摊位

,现在正在
为自己的餐厅制定计划。

她正在向一家商业银行申请小企业贷款

因为她现在有信用
记录证明她应得的。

就在上周,我在内罗毕见到了 Jenipher

,她告诉我
她对开始工作感到多么兴奋。

她说:

“只有我儿子相信我能做到。
我不认为这适合我。”

她一生都

相信世界上有一部分
对她是封闭的。

我们现在的工作是
向珍妮弗

和像她这样值得信任的数十亿人打开世界

谢谢你。

(掌声)