Actuaries' Survival Guide

Navigating the Exams as Applications of Data Science
3rd Auflage
ISBN: 978-0-443-15497-3
Verlag: Elsevier Science

Buch, Englisch, 272 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 410 g

Actuaries' Survival Guide: Navigating the Exams as Applications of Data Science, Third Edition explains what actuaries are, what they do, and where they do it. The book describes exciting combinations of ideas, techniques, and skills involved in their day-to-day work. This edition has been updated to reflect the rise of social networking and the internet, the progress toward a global knowledge-based economy, and the global expansion of the actuarial field that has occurred since the prior edition.

Autoren/Hrsg.

Wang, Ping

Szabo, Fred

Fachgebiete

• Wirtschaftswissenschaften Finanzsektor & Finanzdienstleistungen Versicherungswirtschaft
• Wirtschaftswissenschaften Wirtschaftswissenschaften Wirtschaftswissenschaften: Berufe, Ausbildung, Karriereplanung
• Wirtschaftswissenschaften Wirtschaftswissenschaften Wirtschaft: Sachbuch, Ratgeber
• Sozialwissenschaften Pädagogik Berufliche Bildung Berufs- und Studienberatung, Karriereplanung
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik

Inhaltsverzeichnis

1. Actuarial Careers 2. Actuarial Education 3. Actuarial Jobs

A. Consulting Firms B. Insurance Companies C. Reciprocity Agreements D. Actuarial Websites E. Recruiting Agencies F. SOA Education Summary G. CAS Education Summary H. Actuarial Symbols I. Bibliography

Über Autor(innen)

Wang, Ping
Ping Wang works at St John's University - Tobin College of Business, NY, USA.

Szabo, Fred
Author of:
The Linear Algebra Survival Guide, 1st Edition
Actuaries' Survival Guide, 2nd Edition
Actuaries' Survival Guide, 1st Edition
Linear Algebra: An Introduction using Maple, 1st Edition
Linear Algebra: An Introduction using Mathematica, 1st Edition

Fred E. Szabo is professor in the Department of Mathematics and Statistics at Concordia University in Canada. He completed his undergraduate studies at Oxford University under the guidance of Sir Michael Dummett and received a Ph.D. in mathematics from McGill University under the supervision of Joachim Lambek. After postdoctoral studies at Oxford University and visiting professorships at several European universities, he returned to Concordia University as a faculty member and dean of graduate studies. For more than twenty years, he developed methods for the teaching of mathematics with technology. In 2012 he was honored at the annual Wolfram Technology Conference for his work on "A New Kind of Learning" with a Wolfram Innovator Award. He is currently professor and Provost Fellow at Concordia University.