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发帖数: 35 | 1 【 以下文字转载自 JobHunting 讨论区 】
发信人: budbud (I am bored), 信区: JobHunting
标 题: job opening in northern NJ, key word: statistical modeling, SAS, commerial lending
发信站: BBS 未名空间站 (Wed Oct 16 20:26:11 2013, 美东)
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. |
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