Books

Python for Quantitative Finance

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Are you an aspiring quantitative analyst, finance student, or developer looking to break into the world of data-driven finance?

The path to becoming a quant can be challenging, filled with scattered resources and expensive courses. That’s why I’ve leveraged my experience as a professional trainer to create a comprehensive, and hands-on eBook.

This book is a structured, A-to-Z curriculum designed to take you from Python fundamentals to practical financial modeling.


Quantitative Finance : Intuition Before Equations

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A Comprehensive Guide to Bond Mathematics

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This book (part of Quants Interview Series) is a practical, intuition-first field manual for anyone preparing for technical interviews in quantitative finance. Instead of rote memorization, this 60-page PDF helps you visualize risk; turning Duration into a seesaw and Convexity into a protective “smile.”

You’ll build deep, real-world understanding from discounting basics to curve risk, with mental math tricks, interview traps, and case studies like the SVB collapse explained through fixed-income mechanics. Written by a veteran quant with 20+ years of experience, it bridges the gap between theory and what top banks and hedge funds actually test.


The Stochastic Menagerie

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Practitioner’s Guide to Option Pricing

Coming soon …