Shashwat Alok
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Research Associate Positions in Finance with Professor Shashwat Alok at Indian School of Business Indian School of Business in
I am hiring Research Associates in Finance at Indian School of Business with Professor Shashwat Alok.
International Business School
Indian School of Business
Date not provided
Keywords
Description
Two Research Associate positions are available in the Finance area at the Indian School of Business (ISB), Hyderabad, under the supervision of Professor Shashwat Alok, Associate Professor of Finance. This opportunity is ideal for candidates interested in pursuing a PhD in Finance or Economics, offering hands-on experience in high-quality research at a leading business school in Asia.
Research Focus and Responsibilities:
The roles involve assisting with ongoing research projects in finance, including literature review, data collection and scraping, data cleaning and preparation, linking datasets, econometric and exploratory data analysis, causal estimation, data visualization, and analytical writing. The research environment at ISB emphasizes contemporary and rigorous research, particularly in emerging Asian economies and corporate finance.
Eligibility and Skills:
Applicants should have a strong undergraduate degree from NIT/IIT/BITS/ISI or an equally reputed institution in a quantitative discipline (Engineering, Mathematics/Statistics, Economics) with a high CGPA. A master's degree in a quantitative field is preferred but not mandatory. Essential skills include proficiency in Python, SQL, Stata, and R, as well as knowledge of machine learning, natural language processing, and LLM APIs. Candidates should demonstrate a strong motivation to pursue a PhD, a solid work ethic, excellent communication skills, and attention to detail. Experience with causal inference and econometric techniques is a plus.
Funding and Benefits:
The positions offer a competitive salary, comprehensive employee benefits (including health and personal accident cover for the employee and family), access to a world-class Learning Resource Centre, research seminars, workshops, and PhD-level courses. The ISB provides an inclusive and research-focused environment, supporting professional development and valuing diversity and equity.
Application Process:
Applications are accepted on a rolling basis via the provided Google Forms link. Only shortlisted candidates will be contacted for further steps. Applicants are advised not to send resumes via email and to use the application form exclusively.
About ISB:
The Indian School of Business is a world-class institution known for its innovative programs, outstanding faculty, and robust research environment. It is a leading center for business education and thought leadership in Asia, with a strong focus on finance and emerging markets.
Keywords: Finance, Economics, Quantitative Research, Data Analysis, Machine Learning, Python, Stata, R, SQL, Causal Inference, Emerging Markets.
Funding
The position offers a competitive salary and comprehensive employee benefits, including health and personal accident cover for the employee and family, access to a world-class Learning Resource Centre, research seminars, workshops, and PhD-level courses. The role is full-time and salaried, with opportunities for professional development in a research-focused environment.
How to apply
Apply using the provided Google Forms application link. Do not send resumes via email; only applications through the form will be considered. Applications are reviewed on a rolling basis, and only shortlisted candidates will be contacted.
Requirements
Applicants must have a strong undergraduate degree from NIT/IIT/BITS/ISI or an equally reputed institution in a quantitative discipline such as Engineering, Mathematics/Statistics, or Economics, with a high CGPA. A master's degree in a quantitative discipline from a reputed institution is preferred but not required. Candidates must be highly motivated to pursue a PhD in Finance or Economics, proficient in Python, SQL, Stata, and R, and have knowledge of machine learning, natural language processing, and LLM APIs. Strong work ethic, motivation to learn, excellent communication skills, and attention to detail are essential. Background in causal inference, exposure to economic problems, and econometric techniques are desirable.
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