Derivatives Algorithms provides a unique expert overview of the abstractions and coding methods which support real-world derivatives trading. Written by an industry professional with extensive experience in large-scale trading operations, it describes the fundamentals of library code structure, and innovative advanced solutions to thorny issues in implementation. For the reader already familiar with C++ and arbitrage-free pricing, the book offers an invaluable glimpse of how they combine on an industrial scale. Topics range from interface design through code generation to the protocols that support ever more complex trades and models.

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Aristotle once said `Those who know, do. Those who understand, teach.' The quantitative finance community is very lucky that Tom Hyer, who both knows and understands, has written this short book. It covers a lot of ground and shows the why and the how of industrial-scale derivatives pricing and risk management. This book is a must for practitioners, and useful for academics as well. --Bank of America Merrill Lynch and Visiting Professor of Mathematics, Imperial College London

The name may not be widely known, but Tom Hyer is among the elite of industry quants and is highly regarded by his peers. Finally, the secretive Black Prince of analytics has unveiled some of his tricks in a book that must not be missed by anyone, from a newbie trying to land a first job to a seasoned veteran who thinks he knows it all. --Vladimir V Piterbarg, Global Head of Quantitative Analytics, Barclays Capital

The name may not be widely known, but Tom Hyer is among the elite of industry quants and is highly regarded by his peers. Finally, the secretive Black Prince of analytics has unveiled some of his tricks in a book that must not be missed by anyone, from a newbie trying to land a first job to a seasoned veteran who thinks he knows it all. --Vladimir V Piterbarg, Global Head of Quantitative Analytics, Barclays Capital

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