#ExperianStories: Evie Song

00:00:00,125 –> 00:00:02,044
Hi, I am an employee at Experian,

00:00:02,211 –> 00:00:03,378
and this is my credit story.

00:00:07,549 –> 00:00:08,967
I am from Shanghai, China

00:00:09,468 –> 00:00:10,677
After graduating from college in China

00:00:10,844 –> 00:00:12,721
I came to the U.S. to study in 2006

00:00:13,180 –> 00:00:14,806
Before coming to the States,

00:00:15,224 –> 00:00:17,643
I was living in Shanghai, China,
with my parents,

00:00:17,935 –> 00:00:20,938
where we didn’t really use
the credit card for daily expenses.

00:00:28,153 –> 00:00:30,697
and that links
to your debit card for daily payments.

00:00:30,906 –> 00:00:33,909

About one year after I came to the U.S.,
on my friend’s recommendation

00:00:34,076 –> 00:00:36,912
I applied for my first
Discover student credit card

00:00:37,079 –> 00:00:39,164
And I got my credit score for the first time.

00:00:39,331 –> 00:00:41,250
And after I got my first credit cards

00:00:41,416 –> 00:00:43,627
I made a really big mistake
right off the bat.

00:00:44,336 –> 00:00:47,381
I started paying off stuff
with my credit card monthly,

00:00:47,548 –> 00:00:49,091
but at the end of each month,

00:00:49,341 –> 00:00:54,137
I see that I only have to pay off
30 dollars as a minimum payment.

00:00:54,429 –> 00:00:55,556
And that’s what I did.

00:00:55,889 –> 00:00:57,641
I only paid the minimum payments

00:00:57,808 –> 00:01:00,561
required each month,
not because I can’t afford it

00:01:00,727 –> 00:01:03,021
just because I thought,
I don’t need to pay it off

00:01:03,230 –> 00:01:05,941
until I reached
my maximum credit line.

00:01:06,275 –> 00:01:08,819
I remember
I received an email one day

00:01:09,194 –> 00:01:10,779
stating that my credit score changed

00:01:10,946 –> 00:01:12,447
I turned on my cell phone and checked it out

00:01:12,698 –> 00:01:14,950
I found out that
my FICO score had dropped a lot

00:01:15,075 –> 00:01:17,077
And that’s how I learned,
the reason was because

00:01:17,286 –> 00:01:19,580
I had used too much
of my credit line.

00:01:20,164 –> 00:01:23,333
And to that point,
I barely have any knowledge

00:01:23,584 –> 00:01:26,962
of how credit score works
and how important it is.

00:01:27,588 –> 00:01:29,173
And I have learned
from my own mistakes

00:01:29,339 –> 00:01:30,924
and started
to pay off my credit card,

00:01:31,258 –> 00:01:32,926
completely at the end of each month.

00:01:33,510 –> 00:01:36,847
After that, I’ve also opened
a few more credit cards,

00:01:37,347 –> 00:01:41,351
used my points for flights,
hotels, taken out a loan,

00:01:41,602 –> 00:01:43,687
and now I’m getting qualified
for a mortgage.

00:01:43,937 –> 00:01:47,024
So personally,
it took me a very long time to

00:01:47,191 –> 00:01:49,318
understand credit scores

00:01:49,651 –> 00:01:51,820
The reason is that credit cards are rarely used in China

00:01:52,154 –> 00:01:53,697
and, unlike the people here

00:01:53,864 –> 00:01:57,034
we have not had a good understanding of
credit cards and credit scores since our childhood

00:01:57,409 –> 00:01:59,953
So we tend to more or less
make some mistakes from the beginning

00:02:00,412 –> 00:02:01,788
Now working at Experian,

00:02:02,122 –> 00:02:06,043
I can see how our credits
touch our lives every single day,

00:02:06,627 –> 00:02:10,380
through applying to a job,
getting a car, to running a business.

00:02:10,631 –> 00:02:11,757
So by sharing my experience

00:02:11,924 –> 00:02:14,968
I hope that
Chinese students studying overseas like me

00:02:15,260 –> 00:02:16,553
who hope to work in the U.S.

00:02:16,845 –> 00:02:19,556
can learn the importance of
credit scores early

00:02:19,723 –> 00:02:21,433
get a credit card early

00:02:21,725 –> 00:02:25,312
make payments on time,
and build a good credit score

00:02:25,896 –> 00:02:28,315
This will be
very helpful for us in the future

00:02:28,482 –> 00:02:29,525
Thank you

00:02:29,566 –> 00:02:30,400
Thank you.

00:00:00:00 – 00:00:01:22
大家好，我是Experian的员工

00:00:02:02 – 00:00:03:06
我将讲述我的信用故事

00:00:07:10 – 00:00:08:20
我来自中国上海

00:00:09:08 – 00:00:10:13
在国内本科毕业后

00:00:10:17 – 00:00:12:14
二零零六年来到了美国读研

00:00:13:01 – 00:00:14:16
来到美国前

00:00:15:02 – 00:00:17:12
我同父母居住在中国上海

00:00:17:19 – 00:00:20:19
在当地，对于日常支出 我们其实不太用信用卡

00:00:20:23 – 00:00:23:23
大概来了美国一年左右后 我在朋友推荐下

00:00:24:03 – 00:00:26:23
申请了第一张 Discover的学生信用卡

00:00:27:03 – 00:00:29:05
也是第一次开始有了信用分数

00:00:29:09 – 00:00:31:07
在我首次拥有信用卡后

00:00:31:11 – 00:00:33:16
我立马就犯下一个很大的错误

00:00:34:09 – 00:00:37:10
我开始每月使用信用卡付费

00:00:37:14 – 00:00:39:03
但在每月月末时

00:00:39:09 – 00:00:44:04
我发现我只需要 支付30美元的最低还款额

00:00:44:11 – 00:00:45:14
我就照做了

00:00:45:22 – 00:00:47:16
我每月只支付 所要求的的最低还款额

00:00:47:20 – 00:00:50:14
并不是因为我无法还清

00:00:50:18 – 00:00:53:01
而仅仅是我认为 在达到最高信用额度前

00:00:53:06 – 00:00:55:23
我无需全额还清

00:00:56:07 – 00:00:58:20
我还记得某一天，我收到一封邮件

00:00:59:05 – 00:01:00:19
说我的信用分数有了变化

00:01:00:23 – 00:01:02:11
我打开手机查了一下

00:01:02:17 – 00:01:04:23
看到自己的 FICO分数下降了很多

00:01:05:02 – 00:01:07:02
这就是我的经验教训

00:01:07:07 – 00:01:09:14
分数下降的原因在于 我透支了太多的信用额度

00:01:10:04 – 00:01:13:08
而且在当时我几乎不知道

00:01:13:14 – 00:01:16:23
信用分数如何运作 以及它的重要程度

00:01:17:14 – 00:01:19:04
我从自己的错误中吸取了经验教训

00:01:19:08 – 00:01:20:22
并开始在每月月末

00:01:21:06 – 00:01:22:22
全额还清信用卡

00:01:23:12 – 00:01:26:20
在此之后，我也办理了更多信用卡

00:01:27:08 – 00:01:31:08
使用我的积分 预订航班、酒店、申请贷款

00:01:31:14 – 00:01:33:16
而且现在我有资格获得抵押贷款

00:01:33:22 – 00:01:37:00
所以对于我来说， 信用分数这方面的知识

00:01:37:04 – 00:01:39:07
我是自己花了很多时间去了解的

00:01:39:15 – 00:01:41:19
因为国内很少有使用信用卡

00:01:42:03 – 00:01:43:16
我们也没有像这边的人一样

00:01:43:20 – 00:01:47:00
从小会对信用卡、 信用分数有一个了解

00:01:47:09 – 00:01:49:22
所以一开始 或多或少都会犯一些错误

00:01:50:09 – 00:01:51:18
我现在就职于Experian

00:01:52:02 – 00:01:56:00
能感受到我们的信用 如何在求职、买车、经商等方面

00:01:56:14 – 00:02:00:08
影响每一天的生活

00:02:00:14 – 00:02:01:17
所以通过这次分享

00:02:01:21 – 00:02:04:22
我也希望 像我一样从国内来的留学生

00:02:05:05 – 00:02:06:12
希望在美国工作的

00:02:06:19 – 00:02:09:12
可以早一点 了解信用分数的重要性

00:02:09:16 – 00:02:11:09
早一些去开通信用卡

00:02:11:16 – 00:02:15:06
及时还款 给自己搭建一个优秀的信用分

00:02:15:20 – 00:02:18:06
对我们 会在以后生活中有很大的帮助

00:02:18:10 – 00:02:19:11
谢谢

00:02:19:12 – 00:02:20:08
谢谢