150 Most Frequently Asked Questions on Quant Interviews, Third Edition (Pocket Book Guides for Quant Interviews)

The third edition of the book contains over 200 questions and includes a new section on Statistics and Machine Learning questions along with new questions that became popular since the second edition of the book was published.<br/>Topics:<br/><br/>• Statistics and Machine Learning<br/>• Mathematics, calculus, differential equations<br/>• Covariance and correlation matrices. Linear algebra<br/>• Financial instruments: options, bonds, swaps, forwards, futures<br/>• C++, algorithms, data structures<br/>• Monte Carlo simulations. Numerical methods<br/>• Probability. Stochastic calculus<br/>• Brainteasers<br/>The use of quantitative methods and programming skills in all areas of finance, from trading to risk management, has grown tremendously in recent years, and accelerated through the financial crisis and with the advent of the big data era. A core body of knowledge is required for successfully interviewing for a quant type position. The challenge lies in the fact that this knowledge encompasses finance, programming (in particular C++ programming), statistics and machi9ne learning, and several areas of mathematics (probability and stochastic calculus, numerical methods, linear algebra, and advanced calculus). Moreover, brainteasers are often asked to probe the ingenuity of candidates.<br/>This book contains over 200 questions covering this core body of knowledge. These questions are frequently and currently asked on interviews for quantitative positions, and cover a vast spectrum, from C++ and data structures, to finance, brainteasers, machine learning, and mathematics.<br/>The answers to all of these questions are included in the book. These answers are written in the same very practical vein that was used to select the questions: they are complete, but straight to the point, as they would be given in an interview.