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Swagato Acharjee Director Algorithmic Trading at Citi : MIT Quant & Ai Conference 2022 Speaker Profile

Swagato Acharjee Director Algorithmic Trading at Citi : MIT Quant & Ai Conference 2022 Speaker Profile

Swagato is a senior member of the electronic execution quantitative research team at Citi. His main responsibilities include trading performance optimization of Citi’s execution algorithms, execution consulting and transaction cost analytics for Citi’s clients.

After graduating with a PhD in Engineering from Cornell University, Swagato was a quantitative researcher in the electronic trading teams at Citi and Bank of America Merrill Lynch. Prior to joining Citi, he was a quantitative researcher at RBC Capital markets and Portfolio Manager at Walleye Capital working on statistical arbitrage strategies and long-term factor models.

MIT Ai & Quant 2022 Full Conference Agenda : December 15th

Swagato Acharjee Director Algorithmic Trading at Citi : MIT Quant & Ai Conference 2022 Speaker Profile

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