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Frederic Siboulet
Principal,
iEpsilon
Principal – Artificial Intelligence, Blockchain & Cryptocurrency, and Risk Management
Frederic Siboulet is a trusted C-suite executive with over 25 years of leadership in financial services, specializing in strategy, risk management, advanced analytics, and emerging technologies. He has successfully directed and delivered complex business, data, and technology initiatives across trading, banking, operations, and investment management.
His career spans globally recognized institutions, including Deloitte, Ernst & Young, Reuters, and IBM, as well as leading fintech innovators such as Murex and Algorithmics. Frederic has partnered with tier-one financial institutions on both the buy side and sell side, consistently driving measurable business impact.
A recognized thought leader, Frederic bridges traditional quantitative finance with advanced machine learning, generative artificial intelligence, blockchain, and cryptocurrencies. He is widely regarded for his ability to build compelling business cases, influence senior stakeholders, and lead high-performance, cross-functional teams to deliver transformational outcomes.
Beyond industry leadership, Frederic is committed to education and lifelong learning. He serves as faculty at NYU, teaching derivatives valuation, risk management, artificial intelligence, blockchain, and cryptocurrency within the Master of Finance and Risk Engineering program.
Frederic Siboulet is a trusted C-suite executive with over 25 years of leadership in financial services, specializing in strategy, risk management, advanced analytics, and emerging technologies. He has successfully directed and delivered complex business, data, and technology initiatives across trading, banking, operations, and investment management.
His career spans globally recognized institutions, including Deloitte, Ernst & Young, Reuters, and IBM, as well as leading fintech innovators such as Murex and Algorithmics. Frederic has partnered with tier-one financial institutions on both the buy side and sell side, consistently driving measurable business impact.
A recognized thought leader, Frederic bridges traditional quantitative finance with advanced machine learning, generative artificial intelligence, blockchain, and cryptocurrencies. He is widely regarded for his ability to build compelling business cases, influence senior stakeholders, and lead high-performance, cross-functional teams to deliver transformational outcomes.
Beyond industry leadership, Frederic is committed to education and lifelong learning. He serves as faculty at NYU, teaching derivatives valuation, risk management, artificial intelligence, blockchain, and cryptocurrency within the Master of Finance and Risk Engineering program.
Sessions
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10-Dec-2025Data Excellence StageThe Algorithm Section: Trust, Truth & Transformation in AI
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11-Dec-2025Next Generation StageQuantum Leap or Quantum Hype?
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