Description: Hear from companies & consultants that early adopted VM-21 for year-end 2019. Learn from their experiences in preparing for the significant additional work required for implementation - updating models, assumptions, documentation, etc. Hear about the NAIC review and feedback (if available).

Description: FASB has provided broad guidance for application of long-duration targeted improvements (LDTI) in Actuarial Standards Update 2018-12 for U.S GAAP financial reporting. However, the broad guidance provided leads to several interpretations and technology, data and system implementation challenges. During this session, the presenters will focus on sharing the technology, system and data challenges and insights gathered from their FASB LDTI implementation journey, including lessons learned from collaboration with other discipline areas and stakeholders such as finance, investment and IT. The presenters will also discuss methods to overcome challenges and go beyond compliance.

Description: Under the new reporting regimes actuaries have the opportunity to become leaders for all aspects of cash flows and related insights, rather than just the reserve change line on the income statement, to help educate the organization and informed business decisions. This session will provide practical examples and scenarios where actuaries take on leadership roles to drive reporting compliance and organizational changes; as well as provide an opportunity to discuss what didn’t work as well when it came to deploying new technologies to the valuation and pricing teams.

Description: Model Risk Management continues to be an evolving area for insurers to be considering. This has grown from both internal and external forces and may require a different format to previous model risk frameworks held by insurers. Furthermore, there are a number of trends emerging that we believe will drive an increased focus on insurer’s model risk management frameworks such as technology automation, ever increasing data sources, and the use of predictive models. Risk management and the development of models is an area where insurance companies have performed well in the past. It is expected that frameworks currently exist within companies; the governance, documentation, validation and control of model risk are likely to be well established practices. The challenge that insurers must consider is how well these have been adopted throughout the company for all models used to make business decisions and if the same level of rigor has consistently been applied. Regulation in a high-velocity actuarial environment will to be a challenge that actuaries must spearhead and must be proactive in guiding rule making to ensure continued innovation while putting data security and risk management first.

Description: Machine learning models have many practical applications in the world of insurance. These applications are well documented and most actuaries, at least at a high level, are familiar with these concepts. The presenters will take this one step further and provide an introduction to the theoretical formulas and real-world considerations that make machine learning models possible.

Description: Update by the International Section Council and International Committee on recent accomplishments and upcoming international priorities for SOA members and their stakeholders.

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: The session will feature case study discussion of how insurers can improve their model architecture and data visualization to prepare for the increasing demands of the future. Actuarial data and analysis has long been limited by the complexity and diversity of historical systems. External pressure on insurers is higher than ever before, as new requirements take effect under PBR, GAAP Targeted Improvements, and IFRS17.

Description: Attendees will learn about the risks and rewards of using reinsurance as part of their business strategy. Reinsurance can be used in multiple ways including optimizing value of inforce, supporting planned sales growth, improving ROE, satisfying regulatory requirements, transferring risk, etc. The structures and solutions can take many shapes in order meet companies’ strategic and financial goals. In this session, the presenters will explore the historical and current uses of reinsurance as risk management and value creation tool and discuss developments that may impact the future use of reinsurance.

Description: The life market has seen many challenges recently and has evolved to meet them. More exciting developments are expected to continue in the future. The presenters will cover current life industry trends, including principles-based reserves product trends, indexed UL product and illustrations updates, and accelerated underwriting and the NY DFS circular lette