公司名称:高沃信息技术(上海)有限公司
地点:上海
职位:分析师
Discover Financial Services 是美国五大发卡商之一,三大学生贷款提供者。财富
500强。旗下管理着超过500亿美金的资产。
Discover Shanghai(高沃)提供在数据分析决策领域绝佳的职业发展机会。我们有最
好的培训,丰厚的待遇,我们重视职业培养与发展。员工团队有朝气活力。公司人性
化管理,重视员工的工作与生活的平衡。我们95%以上的员工都是研究生和博士。
母公司网站ww***com[点击查看]
上海公司的网站ww***com[点击查看]">
ww***com[点击查看]
我们的优势:
行业优势:金融分析行业
培训机会:我们有业界最好的培训,尤其帮助非金融背景的同学迅速上手工作,而且
有到美国长短期培训的机会
成长机会:上海办公室在飞速成长,三年时间我们从40人扩张到了110,很多提升和发
展的空间。
福利薪酬:薪资在上海很有竞争力,我们还为外地生源解决上海户口。
Job Title: Analyst
Job Location: Shanghai, China
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.