Description: Introduces the concept of total risk analysis, a methodology used to answer questions like "what are the chances we will lose more than $1 million"

Description: In “Gearing up for Designing Your Future,” published in the May 2017 issue of Actuary of the Future, the author cited four heroes as his personal inspiration. This article is the successor, showing the glory of these heroes and how they can inspire us actuaries today, as we strive to live our best lives. Identifying your own Noble Purpose as an actuary and in your life makes creating a five-year plan for personal growth meaningful and motivating. What will you gain from reading biographies of famous people and the classics? To aspire, to approach eloquence, to emulate the poetry of how they put their ideas across to mobilize their publics, to elevate our own characters by their examples, to be fully equipped to make moral and ethical judgments, to master the primary tool, verbal communication.

Description: An application of GLM trees to mortality modeling using the Individual Life Experience Committee 2009-2015 dataset. GLM trees are a hybrid of GLMs and decision trees which are analogous to the way actuaries have analyzed data. The major benefits include speeding up actuarial analytic workflows, improving data understanding, and improving data visualization.

Description: Description and welcome to the 2020 Canadian Reinsurance Conference including highlight of the key note speaker

Description: James Dunseth's MBA journey at Yale’s School of Management and his startup internship taught him invaluable entrepreneurial lessons. Key takeaways include the importance of customer feedback, flexibility, technical skills, effective metrics, and achieving product-market fit. These insights emphasize customer-centric approaches, agile methodologies, technical understanding, and strategic metric use to guide business decisions and foster innovation.

Description: The article describes principles for optimal sub-tasking of a project goal. Two experiments each one comparing different approaches are presented. A summary of principles for optimal goal setting presents seven key points: i)levels of outcome goals should be recognizable and lack ambiguity; ii) each subtask should be atomic, i.e. not be capable of being broken up into further subtasks, iii) the subtasks should be uniform, lacking ambiguity, so that any new trainee could master it without the need for further guidance; iv) each subtask should be attainable in a reasonable amount of time; v) mentor feedback should be provided during the initial stages of learning or training; vi) upon mastery of each subtask trainees should be encouraged to maximize their overall score; vii) after mastery of individual subtasks, while attempting to maximize scores, trainees should be provided with a mixture of easy, intermediate, and difficult tasks.

Description: This article studies the syllabus as a dynamic, interactive teaching tool that informs and is informed by both solutions of complex course problems and student difficulties with these problems.

Description: The author discusses the importance of branding yourself and provides ideas to assist you in that process.

Description: In this article, the interviewers will discuss the pros and cons of centralized modeling function vs a business unit based modeling function. Their experience will help us in identifying factors in contributing to a successful centralized model function and understand how to set expectation with modeling stakeholders.

Description: This article addresses dealing with distractions, avoiding habits like multi-tasking, and providing guidance on how to reach a state of "flow" to concentrate on deep work.