23
Your Cart
23
Your Cart

This uniquely accessible, breakthrough book lets auditors grasp the thinking behind the mathematical approach to risk without doing the mathematics.

Risk control expert and former Big 4 auditor, Matthew Leitch, takes the reader gently but quickly through the key concepts, explaining mistakes organizations often make and how auditors can find them.

Spend a few minutes every day reading this conveniently pocket sized book and you will soon transform your understanding of this highly topical area and be in demand for interesting reviews with risk at their heart.

“I was really excited by this book – and I am not a mathematician. With my basic understanding of business statistics and business risk management I was able to follow the arguments easily and pick up the jargon of a discipline akin to my own but not my own.”

2 reviews for A Pocket Guide to Risk Mathematics: Key Concepts Every Auditor Should Know

There are no reviews yet.

Be the first to review “A Pocket Guide to Risk Mathematics: Key Concepts Every Auditor Should Know”
X

New item(s) have been added to your cart.

Frequently bought with Learn Quantum Computing with Python and Q#: A hands-on approach


View more
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter Original price was: $39.99.Current price is: $14.99.
View more
Artificial Intelligence Programming with Python: From Zero to Hero Original price was: $49.99.Current price is: $19.99.
View more
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 Original price was: $29.99.Current price is: $14.99.
View more
The Elements of Statistical Learning: Data Mining, Inference, and Prediction Original price was: $69.99.Current price is: $19.99.
View more
Machine Learning Meets Quantum Physics Original price was: $79.99.Current price is: $19.99.
View more
View more
Linear Algebra and Optimization for Machine Learning Original price was: $79.99.Current price is: $19.99.
View more
Cart