香港大学教授金融科技课题组招聘全职金融数据分析研究员

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香港大学全职金融数据分析研究员

适合申请者:

想要转金融方向或获取更多金融知识的Python程序员。

岗位职责:

1、根据要求，完成数据收集、数据清理,算法设计和代码实现。

2、配合完成与任务相关的其它目标。

3、领导及帮助初级研究助理完成项目。

任职要求及待遇：

1、在香港大学全职工作一年及以上，赴港可申请香港居民身份证可自由来往陆港两地，满一定年数可申请永久居民身份。可选择在香港或深圳办公室工作。疫情之后除非特殊情形，要求居住在香港港大附近。不接受远程工作。

2、工作优秀可申请在本系攻读四年制金融学博士（历史上每一位全职研究员都在工作1-2年后入学博士项目），期间每年20-30万元补助，疫情之前每年全额补贴四次去欧美澳参加学术会议，工作优异有额外奖学金。本校金融系研究排名亚太前三，全球前三十，往届博士生毕业place到美国、英国、香港、澳洲和内地的大学tenure-track，起薪折合港币100万至200万/年。目前本组第一位博士于2021年毕业（2016年入职全职研究员，2017年入学博士）起薪110万/年。

3、做研究员期间年薪约20-30万/年，视学历、代码水平、对金融数据库的经验而调整。

4、会有Python和数据库笔试，会有两个星期的试用期。

生活成本:

港大地处香港租金最贵的中西区，单间房租每月约五六千，步行至学校约5-15分钟，不建议住远。学校食堂饮食平均约30-50（男生），交通费每月一般不超过一两百，电话费大约一百多。

必需及优先的申请条件:

1、硕士及以上学历，理工科专业如计算机专业优先。

2、熟练使用Python，熟悉os,pandas, pool, datetime等常用packages.

3、对Selenium等爬虫工具、NLTK等文本分析工具熟悉。对并行计算熟悉。有机器学习tensorflow等经验者优先，对遗传算法熟悉者优先。

4、有规范化、标准化的代码编写习惯和良好的技术文档习惯。

5、熟悉Windows及Ubuntu操作系统。

6、能长时间专注数据处理，有浓厚兴趣。

7、有一定的英语水平，申请时附上托福成绩者优先。

8、有合作精神，能够胜任multitasking的工作环境。

9、有金融项目开发经验优先。同时熟悉Matlab，SAS，R的申请者优先。

10、有5-50 GB size的数据处理经验者优先。

11、对Compustat，Worldscope，Dealscan，Execucomp，Thomson Reuters等常用金融数据库熟悉者优先，不熟悉的话需要在试用期测试数据库学习速度。

12、性格成熟的申请者、有业界工作经验者优先。

申请过程：

1、将中英文简历 (简历中需包括手机号码)及以前的项目开发的Python或其它代码Email至wangzg@hku.hk,有Github账号者也请附上。简历请着重强调编程经验，不需要写校内及社团活动。

2、被挑选者将会在简历发送的一周内收到电话或Email通知笔试。

The University of Hong Kong –Recruitment for Full-time Financial Data Analyst

Who May Apply:

Science/engineering-background Python programmers who want to apply for Finance degrees or who wantmore exposure on financial knowledge.

Responsibilities:

1. Complete data collection, data cleaning, algorithm design andprogramming

2. Achieve other goals in the tasks

3. Lead and help research assistants

Requirements and treatment:

1. Full-time work for one year or more at The University of HongKong. Can apply for Hong Kong ID card and freely travel between HK and themainland. Can apply forHK Permanent Resident after certain years. Can choose between Shenzhen and HongKong offices. After the pandemic, must live close to HKU if without appropriateexcuses. No acceptance of long-distance working mode.

2. RAs with excellent work can apply for 4-year program of FinancePhD at HKU (in history, all full-time RAs successfully entered the PhD programafter one to two years of work). During the PhD study, living subsidies areabout 200,000-300,000 HKD per year; before the pandemic, four times ofconference trips per year to the US, Europe, and other countries with fullsubsidies were provided; extra scholarships are provided to outstandingstudents. HKU finance is ranked at top 3 in Asia-Pacific and top 30 over theglobe. HKU Business School PhD graduates were placed to top universities in theUS, UK, Australia, and mainland China, with starting salaries around 1 to 2million HKD per year.

3. Annual salary for RAs is roughly 200,000-300,000 HKD, depending oneducational background, coding skills, and the experience with financedatabases.

4. Written exam on Python and databases will be provided beforeacceptance. A probationary period of two weeks will also apply.

Necessary and Preferable Conditions for Application:

1. A master or higher degree is required. Science/engineering majorlike CS and EE is preferred.

2. Familiar with Python and popular packages such as os, pandas, pool,datetime, etc.

3. Familiar with webscraping techniques such as selenium, textualanalysis techniques like NLTK, and parallel computing. Experience with machinelearning such as tensorflow and genetic algorithm is preferred.

4. Have good habits of code writing, comments, and technicaldocumentation.

5. Familiar with Windows and Ubuntu operating systems.

6. Strong interest in data analysis and can focus on data processingfor a long time.

7. Fine with English communication. Application with the TOEFLresults are preferred.

8. Must be cooperative, good skills of multitasking.

9. Experience in financial project development is preferred.Applicants familiar with Matlab, SAS, R are preferred.

10. Experience of processing data of 5 - 50 GB size and parallelcomputing is preferred.

11. Applicants familiar with Compustat, Worldscope, Dealscan, Execucomp,Thomson Reuters and other financial databases are preferred. If not, must havethe ability to quickly learn these databases during the two-week probationary period.

12. Mature applicants and applicants with industry work experienceare preferred.

Application process:

1. E-mail your resume (with mobile phone number) and Python or othercodes of previous projects to wangzg@hku.hk.Also include your Github account if available. Focus on coding experience inyour resume, and do not list unrelated association or university activities.

2. The selected applicants will receive a phone call or email to takea written exam within one week.

香港大学全职金融数据分析研究员Jun2021 中英文.pdf (365.77 KB, 下载次数: 5)

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