Research Assistant

Job Description

One Research Assistant (RA) position is available for a full-time RA at the Statistics and Business Analytics, College of Business and Economics, United Arab Emirates University. The successful candidate will collaborate on an ongoing funded research project in the area of Fin Tech and Financial Innovation, with a particular focus on digital finance, financial technology, and their implications for corporate finance, governance, and sustainable finance.

The research is applied and empirical in nature and examines topics such as Fin Tech adoption, digital transformation, financial inclusion, ESG–Fin Tech interactions, and technology-driven changes in corporate behavior and financial markets. The appointment is for one year, with the possibility of extension subject to funding availability and satisfactory performance. The RA will work under the supervision and guidance of the Principal Investigator (PI).

Research progress will be monitored through regular meetings, and the position is expected to lead to high-quality journal publications.

• A PhD in Finance, Financial Economics, Fin Tech, or a closely related field from a reputable university, with publications or strong research potential in Fin Tech, Corporate Finance, Governance, or Sustainable Finance (ESG).
• Strong proficiency in statistical and programming software (e.g., Stata, Python, R, SAS), and familiarity with relevant databases such as Compustat, CRSP, Board Ex, WRDS, Bloomberg, or Fin Tech-related datasets.
• Ability to work independently and collaboratively within a research team, strong organizational skills, and fluency in English (spoken and written).

• A PhD in Finance, Financial Economics, Fin Tech, or a closely related field from a reputable university, with publications or strong research potential in Fin Tech, Corporate Finance, Governance, or Sustainable Finance (ESG).
• Strong proficiency in statistical and programming software (e.g., Stata, Python, R, SAS), and familiarity with relevant databases such as Compustat, CRSP, Board Ex, WRDS, Bloomberg, or Fin Tech-related datasets.
• Ability to work independently and collaboratively within a research team, strong organizational skills, and fluency in English (spoken and written).

Excellent quantitative skills, with experience analyzing large-scale survey data. Additional Desired Skills in AI and Machine Learning (Fin Tech-Focused)

02/11/2026