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AD Derivs. Podcast (Ep. 45) - Terence An, Co-Founder @Itos.Fi
Manage episode 376248387 series 3356661
Born in Queens, New York, Terence An graduated from Carnegie Mellon’s School of Computer Science and spent the next six years as a trader at Hudson River Trading.
After working on their more traditional US Equities HFT desk, he spent two years developing ultra-low latency strategies, situating him closer to the infrastructure, and ultimately sparking his interest in designing financial markets.
The transition to DeFi protocol design was swift and now he runs Itos Finance, the first protocol to empower anyone with access to structured products entirely on chain.
Itos is launching their testnet and raising a seed round in September 2023. In his spare time Terence likes to climb, cycle, reattempt his topology textbook, and when possible he spends time living abroad. However, his favorite pastime is of course displacing traditional finance.
For more information about Itos visit: https://www.itos.fi/
Twitter: https://twitter.com/itos_fi
68 επεισόδια
Manage episode 376248387 series 3356661
Born in Queens, New York, Terence An graduated from Carnegie Mellon’s School of Computer Science and spent the next six years as a trader at Hudson River Trading.
After working on their more traditional US Equities HFT desk, he spent two years developing ultra-low latency strategies, situating him closer to the infrastructure, and ultimately sparking his interest in designing financial markets.
The transition to DeFi protocol design was swift and now he runs Itos Finance, the first protocol to empower anyone with access to structured products entirely on chain.
Itos is launching their testnet and raising a seed round in September 2023. In his spare time Terence likes to climb, cycle, reattempt his topology textbook, and when possible he spends time living abroad. However, his favorite pastime is of course displacing traditional finance.
For more information about Itos visit: https://www.itos.fi/
Twitter: https://twitter.com/itos_fi
68 επεισόδια
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