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标题: 西南财经大学和墨尔本大学--招聘科研助理 [打印本页]

作者: GraceHMeng    时间: 2024-12-11 16:44
标题: 西南财经大学和墨尔本大学--招聘科研助理
[md]We are seeking a highly motivated and skilled research assistant to work on an empirical corporate finance project studying the behavior of blockholders. This is a paid position, and the candidate can work either full-time or part-time.  The successful candidate will work closely with an Assistant Professor at Southwestern University of Finance and Economics and an Assistant Professor at The University of Melbourne. The successful candidate will be responsible for web scraping and data extraction tasks, primarily focused on financial data and SEC filings.

Responsibilities:  

1. Web Scraping: Develop and implement web scraping scripts to extract data from various sources, including financial websites, SEC filings, and other relevant online repositories.
2. Data Extraction: Extract relevant financial data, such as company financials, executive information, ownership structures, and other pertinent details from SEC filings (e.g., 10-K, proxy statements).
3. Data Cleaning and Processing: Clean and preprocess the extracted data, ensuring its accuracy, consistency, and usability for further analysis.

Qualifications:

1. Strong programming skills in Python or other relevant languages (e.g., R).
3. Familiarity with web scraping libraries and techniques (e.g., BeautifulSoup, Scrapy, Selenium).
4. Basic knowledge of finance and accounting concepts.
5. Familiarity with SEC filings and their structure (e.g., 10-K, proxy statements) is highly desirable.
6. Attention to detail and ability to work with large datasets.

Education and Experience:

- Bachelor's degree in Computer Science, Finance, Economics, or a related field.

- Prior experience with web scraping and data extraction projects is preferred.

- Familiarity with financial data and SEC filings is a significant advantage.

This is an excellent opportunity for a motivated individual to gain valuable research experience in empirical corporate finance and work closely with a faculty member. The position offers competitive compensation and the potential for co-authorship on research publications.  

If you are interested in this position and meet the qualifications, please contact Dr. Meng at mengfq@swufe.edu.cn or send a text message to 15756600157 with your resume and a brief cover letter.

Regards,

Grace
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