Sebi News: Sebi Renews Market Data Advisory Panel

New Delhi: Sebi has restructured its advisory committee on market data that recommends policy measures related to areas such as access to stock market data and privacy. Reshuffling its market data advisory committee, Sebi has said the panel will now have 21 members, according to the latest information with the regulator.

Previously, the committee had 20 members.

The committee is chaired by MS Sahoo, Professor at Delhi National Law University and former Chairman of the Bankruptcy and Insolvency Board of India (IBBI).

In addition to Sahoo, the panel has CEOs of stock exchanges and depositaries, representatives of various stakeholders and senior Sebi officials as members.

Committee members include Nithin Kamath, Founder and CEO of Zerodha Broking Ltd; Ranjit Pawar Managing Director, South Asia at Refinitiv; Sreekanth Nadella CEO and COO of Kfintech; Suhas Tuljapurkar Managing Partner, Legagis; Raman Uberoi Senior Advisor for Government and Regulatory Relations at

and Kiran Shetty, CEO and Regional Director for India and South Asia at SWIFT India.

Additionally, BSE Managing Director and CEO Ashishkumar Chauhan; NSE CEO and CEO Vikram Limaye; Mahesh Vyas, MD of CMIE; Prithvi Haldea, President of Prime Database; and Anuj Kumar, CEO of

will continue as members.

While Ashlesh Gosain, Regional Head – South Asia, Bloomberg LP, Mumbai; Reena Garg, BIS F&Head Scientist (Department of Information Technology and Electronics) and Ganesh Ramakishnan, Professor in the Department of Computer Science and Engineering at IIT Mumbai, are no longer part of the panel.

The scope of the committee’s work includes the identification of data perimeters by segments, data needs and gaps, and recommendations for data privacy and data access regulations applicable to market data.

It is responsible for recommending the appropriate policy for access to stock market data.

Additionally, the committee recommends standardization of data definitions; data identification logic (use of uniform codes to identify and store data – raw data and derived data) and data validation techniques (single source of truth, validation).

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