Arindam Chakraborty is a central banker with over fourteen years of service at the Reserve Bank of India, spanning bank supervision, currency management, financial inclusion, and government banking operations. He is presently deputed to the Indian Institute of Bank Management (IIBM), Guwahati, as a faculty member. Prior to this deputation, he headed the Research and Innovation Division and the Currency Accounts Division in the Department of Currency Management at Central Office, Mumbai.

His supervisory experience spans the regulated spectrum, covering more than twenty Urban Cooperative Banks and NBFCs, as well as the inspection of a NABARD Regional Office as Principal Inspecting Officer. He brings broad operational exposure, having managed currency remittances in the Eastern Region during demonetisation and was also part of the team that implemented electronic payments across the North-Eastern states under the Look North-East policy, alongside grassroots experience as a Lead District Officer in districts of Manipur and Nagaland. In these various capacities he has undertaken studies on household over-indebtedness in Bihar using NBFC-MFI borrower-level data, logistical optimisation of currency chest architecture, and exploration of alternate network structures in currency management. He has also been involved in projects relating to the modernisation of currency management architecture.

He holds an MSc in Global Central Banking and Financial Regulation from Warwick Business School, in partnership with the Bank of England, an International MBA (Finance) from IE Business School, Madrid, and a B.Tech in Information Technology. He is a CAIIB and is currently pursuing a PhD in Finance at IIM Kozhikode. His academic interests lie in financial intermediation, asset pricing, macro-finance, and financial stability. His MSc dissertation developed a financial stability measure for the Indian context. He has also worked as a Research Assistant at the Sovereign Wealth Research Lab under Prof. Javier Capapé Aguilar at IE Business School. His technical toolkit covers R, Python, Stata for econometric modelling, Natural Language Processing , and network analysis.