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Bio
Twenty-five years ago his research group development much of the early fraud detection technology and built the first insider dealing detection system for the London Stock Exchange. For the past 18 years Prof. Treleaven’s research group has developed algorithmic trading systems with many of the leading investment banks and funds, and for the past 8 years they have worked on automating Regulation, Systemic Risk and RegTech with the Bank of England, FCA and other Regulators. Current research includes the application of machine learning and blockchain technology to decentralized finance (DeFi), asset management and regulation, and legal technology. (Treleaven is credited with coining the term RegTech.) He has also launched 9 start-ups.
Research Interests
Papers共 64 篇Author StatisticsCo-AuthorSimilar Experts
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SSRN Electronic Journalno. 2 (2021)
2020 International Conference on Computational Science and Computational Intelligence (CSCI)pp.551-557, (2020)
Handbook of StatisticsBig Data Analyticspp.107-124, (2015)
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