Job Description

Employment Type

Full-time or Part-time (depending on the qualifications and availability of the successful candidate)

Responsibilities

• Python programming to process large volume unstructured datasets
• Implement LLM and Machine Learning algorithm
• Conduct statistical analysis in SAS or Stata
• Assistant with other ad hoc tasks

Qualifications

Required Education

• Bachelor’s or Master’s degree in computer science, economics, data science or related fields.

Required Experience

• Prior experience in working with large unstructured datasets
• Prior experience in using US research database or datasets such as WRDS, 10K reports, Conference Transcripts, Court filings
• Understand econometric modelling.
• Understand US institutional environment

Required Knowledge, Skills and Abilities

• Proficiency in English.
• Ability to work independently
• Attention to details
• Ability to multitasking

Application Process

Applicants are asked to submit a curriculum vitae and cover letter addressing research and academic interests. Review of applications will begin immediately and will continue until the position is filled. For further questions on the position details, please contact Sterling Huang at sterling.huang@nyu.edu.

Additional Information

About NYU Shanghai

NYU Shanghai is China’s first Sino-US research university and the third degree-granting campus of the NYU Global Network. We were founded in 2012 by New York University and East China Normal University with the support of the city of Shanghai and the district of Pudong. NYU Shanghai seeks to cultivate globally-minded graduates through innovative teaching, world-class research, and a commitment to public service.

NYU Shanghai is an equal opportunity employer committed to equity, diversity and social inclusion. We are proud of its diverse and talented staff members, who work together to build and sustain this unique and pioneering institution of higher education in China.

For more information about NYU Shanghai, please visit https://shanghai.nyu.edu. You can also follow our official WeChat Account: NYUShanghaiRecruit for more updated news.