Research Associate with Professor Shashwat Alok

Role: Research Associate

Location: Hyderabad

No of Openings:2

Faculty Name: Professor Shashwat Alok

Academic Area: Finance

Start Date: As soon as possible

Research Summary of the Faculty:

Professor: Professor Shashwat Alok

Shashwat Alok is an Associate Professor of Finance at the Indian School of Business (ISB). He joined ISB in 2013 after receiving his PhD in Finance from the Olin Business School, Washington University in St. Louis. He is currently the Research Director at the Digital Identity Research Initiative.

His primary research interests are in the areas of corporate finance. In particular, his research focuses on understanding the impact of the law, government policy, and institutions on firms and individual behaviour, with a greater focus on emerging markets. His recent work seeks to examine the role of alternative data and fintech in expanding financial inclusion, and the impact of climate change on firms and capital allocation.

Website: Professor Shashwat Alok website

About ISB

The Indian School of Business (ISB) evolved from the need for a world-class business school in Asia. The founders, some of the best minds from the corporate and academic worlds, anticipated the leadership needs of the emerging Asian economies. The ISB is committed to creating such leaders through its innovative programs, outstanding faculty, and thought leadership. The Indian School of Business (ISB) provides a robust environment that generates high-quality research that is both contemporary and rigorous.

Roles & Responsibilities:

Assistance to the faculty Assisting in their ongoing research work, which includes literature review, data collection, database management, and analysis.

1. Data collection Scraping data from websites or documents and compiling into usable formats for analysis.
2. Data cleaning/preparation Linking different datasets, ensuring data quality, and processing raw data into processed datasets for modelling and estimation.
3. Data analysis Econometric analysis, exploratory data analysis and causal estimation, including data visualisation and reporting
4. Synthesis Literature review, summary, presentation, and analytical writing.

Required Skills and Qualifications:

Qualifications:

• Strong Undergraduate from NIT/IIT/BITS/ISI or equally reputed institutions in quantitative disciplines (Engineering, Mathematics/Statistics, Economics) with a high CGPA
• Master's degree from a reputed institution in a quantitative discipline is preferred, but not required

Must have:

• Strong motivation to pursue a PhD in Finance/Economics
• Strong coding proficiency in Python, SQL, Stata, and R.
• Proficiency in machine learning, natural language processing algorithms and LLM APIs
• Motivation to learn and a strong work ethic
• Strong verbal and written communication skills, with attention to detail

Nice to have:

• Background in causal inference
• Exposure to economic problems and econometric techniques

Our Commitment towards you:

ISB is a research-focused business school. It offers a variety of opportunities to understand the current management phenomena in depth, through research brown-bag seminars, workshops, and PhD-level courses. It provides several options to hone a person's analytical skills. This position is best suited for a candidate with an interest in pursuing a PhD down the line.

Along with the competitive salary and plethora of employee benefits, ISB hosts a world-class Learning Resource Centre across Asia, Comprehensive Health and Personal Accident Cover for you and your family members. ISB believes in creating a truly inclusive culture that values diversity, equity, and inclusion for everyone through our ideas and collaborations.

For any queries, reach out to - [Confidential Information]. Kindly do not share your resumes or CVs via email. Please use the link below for submissions.

If this role is your true calling, please fill out the form using the below-mentioned link.

https://forms.gle/k2kMmgaF9c9Hx2LZ6

Applications will be reviewed on a rolling basis, and only shortlisted candidates will be contacted for the next steps.