Description: Effective strategic decision-making helps insurance firms succeed by, among other things, enhancing profits and return on investment. Capital optimization is a crucial component for business leaders to consider when it comes to financial planning, new business strategy, and evaluating corporate structures. Actuaries have a vital role in evaluating and communicating key risks and impacts on the capital position for such strategic decisions. In this session we will be exploring in detail the range of practices when it comes to: Assessing the immediate impact to capital from corporate strategy and new product design Creating a forward-looking assessment of capital across the business planning horizon, including considerations with regards to the change in risk profile due to strategic action Keeping pace with internal demand to ensure that capital is part of the decision making process Providing analysis of sufficient quality to allow management understanding of key drivers of change and how their decisions influence results

Description: Feature article discussing how the insurance industry can become more data driven.

Description: Businesses across the board have been drastically impacted by the effects of COVID-19 over the course of 2020, and insurance was not immune. Perhaps most relevant to this industry’s current capital and liquidity concern is the prevailing low interest rate environment. This has been a global trend in the last decade, and treasury rates in much of the developed world are at or near zero. Reduced investment returns limit an insurer’s ability to achieve their desired return on equity, eliminating previously profitable strategies that depended on the leverage of life and annuity balance sheets. Focus and activity have instead shifted to other methods to counteract the low interest rate markets and accompanying capital strain. Examples include increased mergers and acquisitions (M&A) activity within the insurance industry and an increasing focus by private equity firms in the insurance market for asset-intensive products, both of which reflect the goal of increasing yield rates on capital.

Description: The actuarial profession is at a tipping point and a combination of disruptive technologies and external pressures are creating a unique opportunity to move from results producer to insightful adviser. For a prudent but forward-looking professional, this is exciting and scary in equal measure. The ability to process large masses of business data to make more accurate calculations has become one of the most sought-after skills for leaders across all industries, including insurance.<br><br>The presenters will introduce current data technologies used to manage, process and visualize data. They will cover solutions like Microsoft BI, Tableau, Amazon Redshift, Hadoop, Alteryx, Python, etc. and their applications in data, process improvement, automation, reporting and predictive analytics. In particular, they will explore management reporting and how it leverages data analytics to help business leaders with strategic decisions making, how to evaluate the effectiveness of management reporting structures, drivers of change and ways to improve them, and proposed steps toward entrenching this dynamic and insightful approach to management reporting in which insurance leaders can have confidence.

Description: Digital is the main reason over half of the companies on the Fortune 500 have disappeared since 2000." (CEO Accenture). We cannot be sure how global technology megatrends will disrupt the life insurance industry, but we can be certain that the future will not look like today. As large quantities of available data are no longer owned by insurance companies and statistical techniques become more accessible to non-statisticians, the pressure to keep up with technological advancement increases. Life actuaries must think critically about and be prepared for the coming changes and position themselves as leaders in an industry lagging behind in new technology adoption.

Description: This article provides an overview of activities that should be considered by an actuary when validating a predictive model. It describes several components to consider when validating a predictive model and provides an examination of various methodologies that can be implemented in the validation process.