NYU Shanghai is seeking a two-year Postdoctoral Research Fellow to join the Volatility Institute at NYU Shanghai (VINS). The candidate is expected to join VINS starting from Spring 2026 and the position will remain open until a suitable candidate is found. The appointment start date for non-Chinese applicants is subject to immigration regulations. The ideal candidate should have a strong background in Climate Finance and a particular interest in the research related to the China market. The position offers opportunities to work alongside top-tier scholars including Nobel Laureates and have access to valuable and unique databases provided by VINS through its close collaborations with top financial institutions and data providers in China. The successful candidate is expected to participate in research projects within VINS and joint research projects between VINS and other financial institutions and schools. The position is renewable upon mutual agreement.
Terms of employment at NYU Shanghai are comparable to NYU New York and other U.S. institutions.
Independently work on research projects aiming at top journal publications
Work on VINS research projects including data collection cleaning analysis and writing reports
Participate in joint research projects between VINS and other financial institutions/schools
Assist the executive director on academic research studies including literature reviewdata processing and analysis
Help organize VINS conferences and workshops
Any additional responsibilities related to Institute resources and activities that fall under the purview of the Research Fellow
Qualified candidates must have recently received their Ph.D./ABD in Finance Statistics or Econometrics
Genuinely interested in research and capable of executing research projects with little supervision
Have proven ability to use sophisticated econometric tools to analyze complex financial data on a large scale
Be able to conduct research and write research papers/reports in both English and Mandarin with a high level of fluency
Be familiar with Chinese financial markets and have a strong background in finance and statistics
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