高沃信息技术(上海)有限公司
数据来源天眼查
100 - 499人 | 大数据/云计算/网络安全 IT服务/IT解决方案 | 外资·合资 | 上海

Discover高沃信息2012实习生招聘

网申地址
  1. 网申

    07月15日 -07月15日

  2. 笔试

  3. 面试

  4. 结束

  We are looking for high caliber post graduate or PhD students to join our Analytics Center of Excellence and offer exciting Internship. The participants will be provided with systematic training in both technical and business knowledge of decision science in financial service sector 2012 - 2013 Internship process & timeline:

  Online Application: June 19 - July 15

  Phone Interview:June 19 - July 20( Start right away as resumes come in )

  Face to face Interview: July 2 - July 25

  Internship Offer: July 9 - July 30

  Internship Starts: August 1

 

  Important Notes: Discover will organize Campus Recruiting Events in multiple universities in coming fall (September ~ October, 2012). We collect applications with on-going basis for our 2013 Campus Recruitment. If you are interested in either our internship or future career opportunities, please click here to apply:

  Position: Analyst Intern

  Location: Floor.21 Ocean Tower, No.550 YanAn East Road, Shanghai

  Intern Period: 2012 August ~ 2013 June (preferred at least 3 days a week)

  Job Opportunity: Successful intern will be offered job opportunities at Discover

 

  WE PROVIDE

  Broad training curriculum focusing on foundational data analytical technology and business & Industry knowledge

  Focused mentoring and coaching

  Introduction to and interaction with teams & management

  Friendly corporate culture

  Competitive intern allowance

 

  REQUIREMENTS

  Students who are earning Master's Degree, preferred in Engineering, Science, Econometrics, Computer Science, Statistics, Management Science, or Finance

  Must have a graduation date in 2013

  Strong interest in using data for business insight

  Ability in learning and applying analytical skills for business analysis, strong programming skills is a plus.

  Excellent English communication (both oral and written) and interpersonal skills

  Experience and comfort with performing quantitative and/or financial analysis and modeling is a plus

 

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