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[北京]ProLink Group

  1. 发布时间:2018-10-11
  2. 工作地点:北京
  3. 职位类型:全职
  4. 来源:水木社区
  5. 职位:Quant Research & Trading Analyst Program
发信人: Belvedere (Apollo), 信区: Career_Campus
标 题: 【ProLink Group】Quant Research & Trading Analyst Program
发信站: 水木社区 (Thu Oct 11 17:22:26 2018), 站内

欢迎2019年应届毕业生申请!

第一年package在50万左右,另有十分可观的绩效奖金。
本职位为全球顶尖对冲基金在北京和上海办公室的职位,未来可以转到新加坡,中国香港或纽约办公室工作。
不要求有数量金融背景,欢迎理工科背景候选人。请发英文简历至 resume@prolinkgroup.net

In response to its rapid growth in asset under management, a multi-billion dollar hedge fund with multi-strategies and global market presence is currently seeking highly-qualified Quantitative Analysts to join its Quantitative Equity Strategy team to develop quantitative prediction and execution algorithms for global stock markets. Location can be Beijing or Shanghai.

Job Responsibilities:
- To work closely with experienced investment professionals to structure market knowledge and insights, and to quantify the investment decision-making process;
- To analyze all kinds of information about stocks, including but not limited to macroeconomic factors, company financial information, news, etc. and participate in the development of back-testing framework and data analytics system;
- To help and take part in the full cycle of trading for quantitative portfolios in global investments, including participation in pre-trade, trading and post-trade processes.

What the opportunity will offer:
- Unparalleled opportunity of joining the dynamic and exciting hedge fund industry, with unique focus on quantitative investment business
- Able to apply cutting-edge machine learning techniques into investment process
- Attractive remuneration package and benefits, starting from CNY500K package plus performance bonus
- Exposure to full cycle of quantitative investment process, from data analytics to decision making to execution.
- Multi-cultural and friendly working environment


Job qualifications:
- Have strong mathematical / statistical modeling skills
- A Master or Ph.D. degree holder in quantitative fields such as statistics, mathematics, computer science, electronic engineering, financial engineering or related disciplines; undergraduates with outstanding academic profile will also be considered
- Have solid programming background, Python/C#/C preferred
- Preferably have some practical experience or knowledge in machine learning technologies
- Highly intelligent, can maintain resilience and efficiency under pressure and effectively prioritize tasks
- Have strong interest in finance (prior work experience in finance industry is not a must)
- An excellent team player with good communication skills
- With good command of English
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