JobHunting版 - job opening in northern NJ, key word: statistical modeling, SAS, commerial lending |
|---|
|
|
|
|
|
|
b****d
发帖数: 35 | 1 Urgent Hire, expect to start ASAP.有兴趣请站内联系。
AVP, Quantitative Analyst (Credit Scoring Models)
This is a position within the Quantitative Development & Analysis Group.
The incumbent is expected to design, develop, implement and maintain various
credit scores and their applications in credit decisioning for commercial
lending businesses of small and mid-tickets. The scores are built by
industry standard statistical methods incorporating data from various
sources - external and internal data of Firmographics, financials, payment
history, market, economy and so on. Specific tasks may include but not
limited to the followings.
• Design, develop, implement, evaluate and maintain
credit origination scores of new loan applicants, initial PG/LGD regarding,
auto credit decisioning policies such as new deal underwriting logics and
credit line assignment.
• Design, develop, implement, evaluate and maintain
credit behavioral scores of existing obligors, PG/LGD regarding, auto credit
decisioning policies such as subsequent deal underwriting logics and credit
line management.
• Design, development, implement, evaluate and maintain
collection scores and collections automation strategies to reduce credit
risk.
• Architect/Design Develop, Test and Manage SAS based
Scoring/Decision on Unix Platform.
• Architect/Design Develop, Test and Manage SAS based in
-house Automated Scorecard Monitoring systems. Scoring/Decision on Unix
Platform.
Minimum Required Skills and Experience:
Requires the skill to efficiently extract data from several internal and
external source. Experience with SSIC tool, SAS data querying techniques,
SAS Reporting, SAS Macro, ODS, Integration technologies and web interface
are considered necessary. Experience in design and architect Base SAS
scorecard deployment, routing/decision logic and associated validation would
be a plus.
Master’s Degree in statistics, economics or other related quantitative
and computing fields with demonstrated skills in predictive modeling methods
and system integration, including linear and logistic regression, survival
analysis, competing risk and classification, decision trees, SAS integration
technology, Web integration, Unix operating system and SQL. 3 years’
experience in consumer or commercial credit and collections scoring model
developments and implementations, including processing and analysis of
archival credit bureau data files. Ability to grasp business objectives and
constraints quickly, and formulate appropriate modeling approaches.
Ability to work effectively either independently or as a member of a project
team. Strong oral and written communication skills. Proficient in SAS/SQL
programming. Experience in working on Unix/Linux platforms a must.
Familiarity of Windows based SAS system desirable.
Experience is preferred in credit underwriting and decisioning rules and
processes and cross border credit risk functionalities. | m**********1
发帖数: 92 | 2 很有兴趣， 我是统计加金融的双硕士，正在一家business intelligence 的IT 做实习
，还是很想做一下关于数据分析的工作。
如果您能提供一个email, 我可以把简历发给你过去看看。
Thanks, | l*****n
发帖数: 300 | 3 hi, I am very interested in this position, where can I send my resume?
thanks! I can be reached by email: j*********[email protected] or 978-328-8799 | b****d
发帖数: 35 | 4 Urgent Hire, expect to start ASAP.有兴趣请站内联系。
AVP, Quantitative Analyst (Credit Scoring Models)
This is a position within the Quantitative Development & Analysis Group.
The incumbent is expected to design, develop, implement and maintain various
credit scores and their applications in credit decisioning for commercial
lending businesses of small and mid-tickets. The scores are built by
industry standard statistical methods incorporating data from various
sources - external and internal data of Firmographics, financials, payment
history, market, economy and so on. Specific tasks may include but not
limited to the followings.
• Design, develop, implement, evaluate and maintain
credit origination scores of new loan applicants, initial PG/LGD regarding,
auto credit decisioning policies such as new deal underwriting logics and
credit line assignment.
• Design, develop, implement, evaluate and maintain
credit behavioral scores of existing obligors, PG/LGD regarding, auto credit
decisioning policies such as subsequent deal underwriting logics and credit
line management.
• Design, development, implement, evaluate and maintain
collection scores and collections automation strategies to reduce credit
risk.
• Architect/Design Develop, Test and Manage SAS based
Scoring/Decision on Unix Platform.
• Architect/Design Develop, Test and Manage SAS based in
-house Automated Scorecard Monitoring systems. Scoring/Decision on Unix
Platform.
Minimum Required Skills and Experience:
Requires the skill to efficiently extract data from several internal and
external source. Experience with SSIC tool, SAS data querying techniques,
SAS Reporting, SAS Macro, ODS, Integration technologies and web interface
are considered necessary. Experience in design and architect Base SAS
scorecard deployment, routing/decision logic and associated validation would
be a plus.
Master’s Degree in statistics, economics or other related quantitative
and computing fields with demonstrated skills in predictive modeling methods
and system integration, including linear and logistic regression, survival
analysis, competing risk and classification, decision trees, SAS integration
technology, Web integration, Unix operating system and SQL. 3 years’
experience in consumer or commercial credit and collections scoring model
developments and implementations, including processing and analysis of
archival credit bureau data files. Ability to grasp business objectives and
constraints quickly, and formulate appropriate modeling approaches.
Ability to work effectively either independently or as a member of a project
team. Strong oral and written communication skills. Proficient in SAS/SQL
programming. Experience in working on Unix/Linux platforms a must.
Familiarity of Windows based SAS system desirable.
Experience is preferred in credit underwriting and decisioning rules and
processes and cross border credit risk functionalities. | m**********1
发帖数: 92 | 5 很有兴趣， 我是统计加金融的双硕士，正在一家business intelligence 的IT 做实习
，还是很想做一下关于数据分析的工作。
如果您能提供一个email, 我可以把简历发给你过去看看。
Thanks, | l*****n
发帖数: 300 | 6 hi, I am very interested in this position, where can I send my resume?
thanks! I can be reached by email: j*********[email protected] or 978-328-8799 | m**********1
发帖数: 92 | 7 Hi,
I am interested in this position. Could we talk a little bit more?
Thanks, |
|
|
|
|
|
|
|
