Pioneering Financial Research and Dialogue
IIM Ahmedabad is home to multiple centres of excellence focused on finance, including the Misra Centre for Financial Markets and Economy (MCFME) and the recently established Mattu Centre for Research in Security Pricing and Corporate Finance. The Misra Centre aims
to be a hub for research, teaching, and knowledge dissemination on contemporary issues in financial markets. It engages with industry leaders, academics, and policymakers to discuss new developments and also produces key databases like the Business Inflation Expectation Survey (BIES). Similarly, the Mattu Centre, launched in July 2026, focuses on advancing research in asset pricing, corporate finance, and governance with a specific lens on Indian capital markets. Its stated goal is to build India-specific research databases and foster collaboration between academia, industry, and regulators to shape the development of the nation's financial markets.
Bridging Academia, Policy, and Markets
These centres are not just academic silos; they are designed to have a tangible impact. By organising seminars, conferences, and workshops, they bring together diverse stakeholders to deliberate on key issues. For instance, the Misra Centre has hosted international conferences on FinTech, bringing together researchers, practitioners, and regulators to discuss growth, consumer protection, and financial inclusion. The research output from these centres is intended to address practical challenges faced by businesses, investors, and policymakers. By producing operationally relevant research notes and working on firm-level surveys, the centres contribute to a deeper, evidence-based understanding of India's economic environment.
The Undeniable Rise of Data Analytics
The work of these centres underscores a monumental shift in the financial industry: the transition from experience-based forecasting to data-driven decision-making. In India, the digital revolution, powered by UPI and GST, has created a massive volume of financial data. However, without analytics, this data remains noise. Financial analytics allows firms to detect fraud, manage risk in real-time, optimise working capital, and make smarter strategic investment decisions. This evolution has fundamentally changed finance jobs. The focus is no longer just on accounting and compliance but on extracting actionable insights from complex datasets.
The Critical Skills Gap
This data-centric reality highlights the second part of the headline's assertion: the urgent need for professionals to develop strong statistics and research skills. The finance industry is actively seeking individuals who can do more than just read a spreadsheet. There is a high demand for professionals skilled in data analytics, artificial intelligence, and machine learning. Specific competencies include proficiency in programming languages like Python or R, knowledge of statistical software like Stata, experience with large datasets, and a strong foundation in econometric modelling and quantitative analysis. The demand is reflected in the job market, with a significant portion of all data analytics roles in India stemming from the Banking, Financial Services, and Insurance (BFSI) sector.
Building a Future-Ready Skill Set
For aspiring and current finance professionals, the message is clear: upskilling is not optional. The traditional role of a financial analyst is evolving into that of a financial data scientist. To stay competitive, one must build a T-shaped profile, combining deep domain knowledge in finance with broad technical skills in data analytics. This involves learning how to handle large datasets, apply statistical models to financial problems, and use tools for data visualization and machine learning. Institutions like IIM Ahmedabad are addressing this through specialised programmes in quantitative finance and risk management, aiming to equip professionals with the analytical and practical skills needed to thrive. For individuals, continuous learning through certifications and online courses is crucial to bridge the gap between traditional finance education and the demands of the modern, data-driven financial world.
