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Principles of Quantitative Development
A Book by Dr. Manoj Thulasidas for Quantitative Analysts, Developers, Traders and Middle Office Professionals
Table of Contents
Figures and Tables
"Big Pictures"
Pricing Tool
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"Thulasidas has written an excellent book describing how the modern investment bank works, the individual roles played by the many types of banker and how they interact… or often don't. This is an invaluable book for bank wannabes, recruiters, journalists, those stuck in their silo, educators, regulators, politicians, for almost everyone interested in how this important part of the modern world works. I'm even going to give my mum a copy, although I don't think it will reassure her about the safety of her pension."

Paul Wilmott, mathematician and quant

“If only this book had been written much earlier, many banks and financial institutions would be spared the countless heartaches, frustrations and wasted investments into poorly thought out and badly designed quantitative platforms; and its inevitable toll on the business. The book is exceedingly useful for quant professionals who want to see the forest beyond the trees but more importantly, I think it should be mandatory reading for strategic decision makers in the structured products/exotics trading spaces. Unlike the typical 'big picture' book, I find Thulasidas's approach refreshing in that he provides tangible examples, for example in terms of competing architectures and computing patterns. This enables the reader to clearly understand and concretely grasp the consequence of each design decision as opposed to being forced to decipher fuzzy concepts. I have no doubt that this book will become a classic.”

Alvin Harvey Kam, Exotics Trader, Global Commodities Citigroup

 "Dr Thulasidas opens a window into an esoteric domain in the Banking world which is rarely understood and mostly misinterpreted. The subject insights he possesses help a structured style of narration navigating the reader through abstract material with ease and adding a learning touch as well. A compelling read!!!!!"

C.Krishna Kumar, Advisor to the Chairman, National Bank of Egypt

 "Dr. Thulasidas clarifies the obscure and interconnected world of quantitative finance, exotics trading and financial computing. A must read for the thinking professional, this work will prove valuable to those embarking on a career in any aspect of trading - from business associates to trading system architects, and from quantitative analysts to structurers and traders."

Babek Saber, Retired Global Head, Commodity Structured Products Trading, Standard Chartered

Full Review

Shayne Fletcher

Executive Director, Nomura, and author of  "Financial Modelling in Python."

[Posted here with the reviewer's permission]

In "Principles of Quantitative Development", Thulasidas has offered a contribution that is somewhat unique in the literature associated with the field of Quantitative Development. In that specialised, narrow domain, technical books abound. Most such titles are concerned with the intricacies of the application of specific programming language to the problems of financial engineering or, expositions of advanced mathematics as used in the pricing models of exotic financial derivative products. Thulasidas however has taken a very different tact. Focusing instead on what he terms "the big picture", Thulasidas offers us his insights into the role of Quantitative Development in the broader context of a bank's "trading platform". Armed with such insights, he shows us how an understanding of the varied usages of the trading platform can and should be used to influence and shape its design.

In the opening chapters, the book is concerned with defining what is meant by the term "trading platform". In doing so, Thulasidas necessarily reviews the "architecture" of a bank from the point of view of a Quantitative Developer. That is, he discusses the nature and interactions of the front, middle and back offices of a bank, the different roles that professionals in each of those areas satisfy and how each of their respective needs induce a different set of requirements on the trading platform. Moving on, he reviews the nature of trades, the so-called trade "life cycle" and how different views of a trade are required as a function of the life cycle and the business role of the user.

Having established a broad understanding of the requirements for a trading platform, Thulasidas turns his attention to translating those requirements into design decisions for trading platforms. Along the way he considers such aspects of design as choice of programming languages, issues relating to scalability and extensibility, security and auditing, representations for market and trade data and a trading platform's macro architecture whilst all the way remaining focussed on ensuring that all business needs identified in the earlier chapters are given consideration and catered for.

Going from the general to the specific, Thulasidas in later chapters introduces a flexible derivatives pricing tool (the source code for which accompanies the book). This program in itself will no doubt serve as an excellent starting point for Quantitative Development teams charged with the production of an in-house trading platform. Perhaps of even greater benefit though is Thulasidas's critique of the pricing tool, that is, in his explanation of how the supplied program fails to meet the requirements of a complete trading platform and how the program needs to be extended in order to be considered one. In this way, the line of thought of earlier chapters is reinforced and brought sharply into focus.

Throughout the book, Thulasidas manages to convey his ideas with remarkable eloquence and lucidity. Understanding is enhanced by numerous rich graphics outlining processes and their design (both in the software and work-flow sense). The reader's attention and interest is never lost and a great deal of entertainment is to be found in the numerous side-bars, the "Big Pictures" (in effect an enjoyable mini-series of magazine style articles in their own right).

As Thulasidas himself notes, the subject matter of his book is broad. Accordingly, the potential readership of this title is equally broad. Notably, Quantitative Developers at the beginning of their careers stand most to gain from this book. The fact is though that even the most seasoned of banking professionals would profit from its reading. Quantitative Developers, Quantitative Analysts, Traders, Risk Managers, IT professionals and their Project Managers, individuals considering switching from academia or other industries to a career in banking... Readers from each and all of these groups will find Thulasidas's work informative and thought provoking.

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