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Jian Johnson

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Partner in the Finance and Financial Services Regulatory Practices at the Mumbai office of Cyril Amarchand Mangaldas. Jian has over 13 years of experience in the banking and financial services advisory space. His areas of expertise include  banking, financial regulatory, financial services M&A, derivatives, project finance, and securitisation. Prior to joining the firm, Jian was a part of the corporate legal group at ICICI Bank where he serviced the strategy, treasury, corporate centre, markets, project finance, and securitisation verticals at the Bank. Jian has advised on several marquee transactions including ICICI Bank’s INR 150 Billion Qualified Institutions Placement, Initial Public Offering of ICICI Prudential Insurance Company Limited, the first IPO in the insurance sector in India and Initial Public Offering of ICICI Lombard General Insurance Company Limited, the first  IPO in the general insurance sector in India. He can be reached at jian.johnson@cyrilshroff.com

FIG Paper (No 35- Payments Series 3)– The new Draft Directions for Regulations of Payment Aggregator

Introduction:

In our previous two FIG Papers of PA/PG Framework (here) and (here), we shared our key learnings in connection with operations of payment aggregator and payment gateway guidelines issued by the Reserve Bank of India (“RBI”) on March 17, 2020 (as amended from time to time) (“PA/PG Guidelines”).Continue Reading FIG Paper (No 35- Payments Series 3)– The new Draft Directions for Regulations of Payment Aggregator

Financial institutions have invested heavily into artificial intelligence (“AI”) and machine learning (“ML”) techniques globally, and in India, over the past decade. There are estimates that AI technologies could potentially contribute towards US$ 1 trillion in additional value for the global banking sector, and a World Economic Forum survey indicated that seventy seven per cent of all respondents (151 fintechs and financial institutions from thirty three countries) anticipated AI to possess a high or a very high overall importance in their businesses in the near future. Tangible use-cases in the financial sector have resultantly sprung, benefitting both customers and investors through robo advisors, portfolio optimisation, and algorithmic trading bots. Financial institutions on their part have benefitted greatly through chat bots handling consumer interactions and grievances, identity verification (including video KYC), predictive analytics to mitigate and minimise frauds, etc.Continue Reading FIG Paper (No. 19 – Series 1)- AI/ ML, ChatGPT: Legal and regulatory considerations for financial service use-cases