高沃信息技术（上海）有限公司（"高沃公司"）是一家外商独资企业，公司位于上海市黄浦区。其母公司为美国的Discover 金融服务公司 （"Discover"）。Discover在纽约证交所上市（代号为DFS）, 是一家标准普尔500强企业。Discover总部位于美国芝加哥北郊，是美国最大的信用卡发行公司之一，拥有Discover信用卡网络和5,000多万信用卡客户。

Discover 拥有14，000多名员工，在美国，英国及中国（上海，中国香港）均有办公场所。

Discover信用卡网络拥有几百万商户及现金支取点。在Discover网络上发行的信用卡可在中国银联网络上使用，中国银联卡可在美国Discover网络上使用。

高沃公司计划在2008届毕业生中招聘30-40名分析师。其雇员将从事数据分析，运用SAS 等统计软件开发统计及计量经济模型，为母公司的运营提供服务。

高沃公司提供丰厚的薪水及福利待遇，还将全面帮助员工掌握工作技能。新员工加入公司后，公司将提供脱产培训及在岗培训。这些培训将在中国和美国进行。

理想的申请者需具有硕士或博士学历，工程学，理学，计量经济学，统计学，计算机科学，管理科学，金融学等数学及统计学强的专业， 并拥有很强的英语表达能力（口语及写作）。

网上申请请点击ca***com[点击查看]

 

Job Title:       Analyst

Job Location: Shanghai, China

Employer: Discover Information Technology (Shanghai) Limited, a subsidiary of Discover Financial Services

 

BASIC FUNCTION

 

Work independently, or as an integral part of a project team, to develop predictive models, conduct simulations, perform ad-hoc analyses, and design analytic reports while supporting a specific business area, including marketing, risk management, and customer services.  Participate in general efforts to build analytical capability.

 

RESPONSIBILTIES

 

• Participate in specifying appropriate modeling/analytic solutions to meet business requirements.
• Responsible for data preparation, including sampling, data pulling, aggregation, and other data preparation treatments.
• Develop predictive models while ensuring that business objectives, requirements, and timelines are met. Perform simulations and general ad-hoc analyses to provide insight into strategy design and economic decisioning frameworks. Communicate modeling and analytic results to business partners and management in a clear and effective manner.
• Work closely with business partners to implement models and decision strategies while providing necessary documents, answering questions, and resolving issues.
• Provide input and consultation to business partners on various statistical issues.
• Identify and share programming knowledge and organizational expertise for efficient and effective execution of project tasks.
• Effectively prioritize and manage tasks to meet deadlines
• Engage in continuous learning to maintain a high level of currency and competency in statistical and analytical principles, tools, and techniques.

 

 

MINIMUM REQUIREMENTS

 

• 1-2 years' experience with the financial services industry in the capacity of modeling and analytics.
• Master's degree is required in a quantitative analysis field such as Engineering, Science, Econometrics, Computer Science, Statistics, Management Science, or Finance. Ph.D. is preferred.
• Strong computer and programming skills.
• Familiarity with statistical and analytical tools.
• Excellent English communication (both oral and written) and interpersonal skills.

 

STATISTICAL KNOWLEDGE AND TOOLS TO BE APPLIED

 

• Linear Regression
• Logistic Regression
• Probit Regression
• Tobit Regression
• Decision Trees
• Neural Networks
• Discriminant Analysis
• Cluster Analysis
• Survival Analysis
• Time-Series Analysis
• Optimization
• Experimental Design

 

 

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