Required Qualifications and Skills

- A keen interest in finance and research.
- A solid academic background, including excellent analytical and computational skills.
- Proficiency in statistical software and programming languages such as Stata, Python, R, MATLAB, SAS, C++, or similar tools is highly desirable.
- Experience in econometrics and empirical research methods is preferred.
- 1-3 years of relevant research experience would be an advantage.

How to Apply

Applications for the position of Research Associate are accepted year-round. Please submit a CV that includes the following information:

- Academic performance and grades across all degree programs.
- Details of any finance-related coursework undertaken, along with brief descriptions.
- Details of proficiency in programming languages and statistical software, if applicable.
- Any relevant work experience.
- Contact information.
- Two professional references, including one from your most recent academic degree program.




- A brief statement outlining your motivation and your long-term career aspirations.

The selected candidate will work closely with Prof. Tantri on a variety of research projects in finance and will receive training in finance and econometrics, gaining a strong foundation in both theoretical and applied finance. The role will involve supporting research activities, including data collection, cleaning and analysis, literature reviews, and empirical research.

The training and research exposure will equip candidates with the necessary skills to contribute to high-quality finance research and prepare them for admission to leading doctoral programmes in finance or related fields. Ultimately, this role serves as a stepping stone towards a career in finance research at a leading academic institution or research organisation.

📌 Research Associate / Research Assistant - Finance | Prof Prasanna Tant (Hyderabad)
🏢 Indian School of Business (ISB)
📍 Hyderabad