Description: 2021 ImpACT Conference - Session 4D: Risk Neutral ESGs for LDTI Market Risk Benefits 10.26.21 Recording

Description: As the insurance industry continues to evolve due to a pandemic and rapidly changing economic and regulatory conditions, the role of data scientists and actuaries has become increasingly important. In an interview with the Atidot data science and actuarial team, we discuss what it is like to work at an InsurTech, how data scientists and actuaries can collaborate, and look at some concrete technical examples of where the innovation is having an impact. This article explores what collaboration can look like and how the role of data science and actuary may evolve in the InsurTech industry in the future.

Description: An increasingly common question in our industry is - what should actuaries be doing and what should IT be doing? This gets at the difference between the self-service model, where actuaries have minimal reliance on ITand the shared-service model, where IT is a partner that helps with goals such as developing capabilities and running production models. The presenters will cover the unique value proposition of actuarial and IT functions and use that context to explore the pros and cons of the two models. They will ask what is going to drive the operating model in the future, considering the implications of trends in governance, technology toolkit and company culture. The presentation will be followed by interactive discussions on three case studies related to how IT and actuarial teams can work together most effectively, allowing the group to learn what works and what doesn't work from other companies approaching these challenges.

Description: Gather with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, pension, investment, product strategy, and more.

Description: 1994 SOA Spring Meeting, Orlando. This session is about re-engineering large actuarial systems. Large actuarial systems have become drains on human, computing and financial resources. And in some cases, daily actuarial functions have grown beyond the scope of normal cost-containment techniques. Re-engineering actuarial systems can significantly alter the trend.

Description: Big data, predictive analytics, machine learning and AI will likely transform the insurance market and the actuarial profession. The actuarial profession is seeing changes many markets, including health and property and casualty. This article describes these trends and provides an introduction into what companies and the Society of Actuaries (SOA) are doing to adapt and capitalize on these trends.

Description: Explore similarities between actuaries and data scientists as speakers share personal experiences on the importance of organizational structure. Attend the Actuary, Data Scientist, or Actuarial Data Scientist webcast to discover the effectiveness of partnering both of these career paths in a life insurance atmosphere. In addition to personal experiences, speakers will discuss several success stories where collaboration and connection became the key to driving innovation. Come learn about the progress these professions have caused in pricing and risk management.