[上海]高沃信息技术(上海)有限公司2011招聘

发布时间：2010-09-21
工作地点：上海
信息来源：上海交通大学就业网
职位类型：全职
职位描述
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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