NY Lead Data Scientist, Finance Credit - 未名空间MITBBS历史存档

国际科技财经博客移民网络热点娱乐民生时事公众号

Redian新闻

>未名空间

>DataSciences - 数据科学

NY Lead Data Scientist, Finance Credit

NY Lead Data Scientist, Finance Credit# DataSciences - 数据科学

a*e2015-10-13 07:10

1 楼

请版主置顶。
这个list将随时添减，我负责更新。
目前group的管理员是easy0784和我两个。
abigapple
aily
athenajz
bluerock
bluerock75
ddddby
easy0784
Gablesrogue
happysky1234
happyyz
JL2
ma+
nap
nhrainbow
pangpang
Richella
sjbs
sleepyy
snakedu
springbonnet
tails
thelishier
Tianshu
tudou2006
xiaomaogua
yanran5725
For those group members who got kicked out:
We already deleted your albums in the group. Hence no one will be able to
see your pictures again. Me and Easy0784 will work hard to guarantee the
fairness and protect your privcay

t*92015-10-13 07:10

2 楼

印度人顾问公司，但好处是当lead data science第一人，和入职后直接跟大银行做 (
like GS,JPM,MS)，
project已谈好。现在就要人，有兴趣的朋友可以试试。MS/PhD 加四年经验。
-Need for a data scientist in NYC to build some scorecards for a lending
business
-The person should have knowledge of consumer lending, credit bureaus and
predictive modeling.
-Developing data-drives decision to build consumer credit origination/
underwriting scorecards.
· Work with the teams to build the credit scoring, pricing, and risk
scorecards
· Implement and test data-mining projects on our large data repositories.
· Develop and test regressions, clustering, and classifiers in order to
zero in on statistically-significant conclusions.
· Design and implement machine-learning classifiers
· Design and implement time-efficient optimization algorithms to increase
accuracy and throughput.
· Collaborate with other teams in developing production Python code.
· Make presentations on key findings to management
·
Basic Qualifications
– Advanced degree (PhD or Master’s) in quantitative disciplines like
Mathematics, Statistics, Engineering or computer science
– Hands-on experience with multivariate analysis, statistical models, time
series analysis, clustering in financial services or related industry
– Prior modeling experience in credit risk, marketing response modeling and
forecasting required
– Machine learning knowledge including neural networks, support vector
machines, random forest highly desired
– Strong familiarity on dealing with large data sets in a Big Data
environment
– Experience with one or more of the industry standard modeling tools (SAS,
R, Python)
– Ability to explain complex statistical models and analysis to drive
business ideas
– Strong project management skills and a track record building or leading
decision science function
– Experience working in a start-up business or a new business line within a
larger organization