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所在地区 | 上海市 | 单位地址 | 上海市黄浦区延安东路550号2108室 | 隶属部门 | 上海市 |
联系部门 | 人力资源部 | 单位电话 | 联 系 人 | 张先生 | |
单位性质 | 其他企业 | 单位传真 | |||
单位网址 | ww***com[点击查看] | 电子邮件 | 20***.60[点击查看] | 单位邮编 | 200002 |
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美国Discover Financial Service中国分公司招聘信息 高沃信息技术(上海)有限公司是美国Discover Financial Service的全资子公司, Job Location: Shanghai, China Web Application: ww***com[点击查看] Employer: Discover Information Technology (Shanghai) Limited, a subsidiary of Discover Financial Services JOB DESCRIPTION Work independently, or as an integral part of a project team, to develop predictive models, conduct simulations, perform ad-hoc analyses, design and produce analytic reports to solve business problems. Participate in center-wide efforts to build analytical capability. The analyst may support one of the specific business areas, including marketing, risk management, customer services, and banking, etc. RESPONSIBILTIES · Be responsible for data preparation, including sampling, data pulling, aggregation, and other data preparation treatments. · Develop predictive models that meet business objectives, requirements, and timelines. · Perform simulations and general ad-hoc analyses to provide insights for strategy design, evaluation and testing. · Communicate project results to US business partners and management in a clear and effective manner. · Work closely with business partners to implement models and decision strategies. · Document project results, address project issues and answer questions from business partners · Provide input and consultation to business partners on various statistical, technical, data or business issues. · Identify and share programming knowledge and organizational expertise for efficient and effective execution of project tasks. · Engage in continuous learning to maintain a high level of competency in statistical and analytical principles, tools, and techniques. MINIMUM REQUIREMENTS · Master’s degree in a quantitative analysis field such as Engineering, Science, Econometrics, Computer Science, Statistics, Management Science, or Finance. · Strong interest in using data for business insight. · Ability in learning and applying analytical skills for business analysis, strong programming skills is a plus. · Familiarity with statistical and analytical tools. · Excellent English communication (both oral and written) and interpersonal skills.
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