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Rehearse before the real exam!
Practice with the ACTEX ASTAM Graded Mock Exam - a great way to predict your exam outcome! Before you take the official ASTAM exam - take the ACTEX ASTAM Graded Mock Exam and get feedback from the experts.
The open-ended style of the ASTAM exam makes it difficult for students to evaluate their work. That is why Wenjun Jiang and Anas Abdallah have designed the graded mock exam to mirror the SOA Exam ASTAM. This exam has a new set of questions and all the typical elements of your SOA exam. This allows you to gain insights into the content, format and your strengths and weaknesses prior to taking the exam.
How does it work?
- Only 100 Graded Mock exams accepted for the October ‘24 exam
- You will receive the ACTEX ASTAM Graded Mock Exam by mid August
- The Mock Exam will come in a PDF format. You will write your solutions on your own paper.
- Take the exam in the allotted time so you can simulate the 3 hours that will be given at the actual exam
- To submit your solutions for grading, you will scan and email to the instructor (last submission date TBD)
- Prof. Jiang and Prof. Abdallah will review, grade and provide written feedback within 2 weeks
1:1 Live Feedback on Graded Mock Exam
Want more? Add 1:1 Live feedback to your graded exam. Connect with one of the expert graders and go over your Graded mock exam results. You will:
- Get personalized attention: The professor will focus on your areas of weakness and provide guidance that is relevant to your learning style.
- Identify knowledge gaps: Help you determine what to focus on prior to the exam
The instructor that grades your paper is the instructor that you will meet - so they will already have a good grasp of your strengths and more importantly weaknesses!
About the Authors
Wenjun Jiang, Ph.D.
Wenjun Jiang is an assistant professor in actuarial data analytics at University of Calgary. He earned his PhD degree in statistics from the University of Western Ontario, his masters degree in actuarial mathematics from Concordia University and a bachelor degree in applied math from Tianjin University. Professor Wang’s research interests include: Design of optimal (re)insurance, risk measures, clustering of financial assets, and dependence structures.
Anas Abdallah, Ph.D.
Anas Abdallah obtained his Engineering and master’s degree in Mathematical and Statistical Modeling from the Institut National des Sciences Appliquees (INSA), in France. He then decided to undertake a MSc. and then a PhD in Actuarial Science, in Canada. His applied thesis has been awarded the Hachemeister prize, by the Casualty Actuarial Society (CAS) in 2016, to recognize the impact on the actuarial industry in North America. Anas has extensive work experience in the insurance industry (2011-2018), where he had the opportunity to work in Corporate Actuarial Services, Research and Innovation team, and Actuarial Pricing & Segmentation department. He joined McMaster University in 2019 as an Assistant Professor in the department of Mathematics & Statistics and he is also the Actuarial and Financial Mathematics (AFM) program coordinator. Thanks to the applied research and engagement with the industry, the AFM program was awarded the 2020 CAS University Award. Anas Abdallah’s research lies in the area of Property & Casualty (P&C) insurance, and more particularly in pricing/ratemaking and reserving.