150 Most Frequently Asked Questions on Quant Interviews

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For orders placed before August 1, 2014, “150 Most Frequently Asked Questions on Quant Interviews” can be purchased for $25, a 15% discount off the $29.50 list price.


150 Most Frequently Asked Questions on Quant Interviews is the first book in the Pocket Book Guides for Quant Interviews Series and contains over 150 questions that are frequently, and also currently, asked on interviews for quantitative positions, covering a vast spectrum, from C++ and data structures, to finance, stochastic calculus and brainteasers.


A ten questions selection, with solutions, can be downloaded here.


Topics:

  • Mathematics, calculus, differential equations
  • Covariance and correlation matrices. Linear algebra
  • Financial instruments: options, bonds, swaps, forwards, futures
  • C++, algorithms, data structures
  • Monte Carlo simulations. Numerical methods
  • Probability. Stochastic calculus
  • Brainteasers

About the Authors

The authors have over 20 years of experience working with the students of the Baruch College Financial Engineering Masters Program who have consistently been successful interviewing for quant type positions in the New York job market, with over 90% placement every year, including through the challenging 2008-2009 years.

Dan Stefanica has been the Director of the Baruch MFE Program since its inception in 2002, and is the author of the best-selling A Primer For The Mathematics Of Financial Engineering, now in its second edition. He teaches graduate courses on numerical methods for financial engineering, as well as pre-program courses on advanced calculus and numerical linear algebra with financial applications. His research spans numerical analysis, graph theory, and geophysical fluid dynamics. He has a PhD in mathematics from New York University and taught previously at the Massachusetts Institute of Technology.

Rados Radoicic has been on the faculty of the Baruch MFE Program since 2006, teaching graduate courses on financial instruments, econometrics, and statistics, as well as pre-program courses on advanced calculus with financial applications. He has done extensive research in discrete and computational geometry, extremal combinatorics, and graph theory. He has a BS and a PhD in mathematics from the Massachusetts Institute of Technology.

Tai-Ho Wang has been on the faculty of the Baruch MFE Program since 2008, teaching graduate courses on stochastic processes and optimization methods, as well as pre-program courses in probability. His research spans fields as varied as quantitative finance, statistics, and Riemannian geometry. He has a PhD in applied mathematics from National Chiao Tung University.


Errata as of November 16, 2013.


Book Details:

  • Softcover: 224 pages
  • Publisher: Financial Engineering Press
  • List Price: $29.50
  • ISBN-13: 978-0979757648
  • ISBN-10: 0979757649