Description: Come discuss modeling costs and its governance, as well as introduce some platforms for more granular asset modeling.

Description: Actuaries are Known as highly ethical. Data Science poses ethical challenges for our profession.

Description: An overview of the articles in the November 2019 issue of The Modeling Platform, and a plea for submissions! Please! Send us articles!

Description: An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance.

Description: Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts the changes have on modeling and end-to-end future state operating models. Industry leading actuaries will discuss: How team collaboration can increase quality and speed of reporting to internal and external stakeholders How to strengthen controls and compliance frameworks across finance and actuarial departments How to modernize actuarial input/output for strategic analysis and insights How to attract and retain top talent by improving opportunities for actuaries There will also be dedicated time to ask questions of those who have made the transition.

Description: The article warns against treating the results of a stochastic model with more deference than other actuarial analysis, and describes some hidden risks involved with choice of model and calibration.

Description: Article describes how to write effective model documentation

Description: Reunite with members and non-members in the China actuarial community to discuss recent topics and related issues in areas such as macroeconomic sharing, IFRS 17, product strategy, cross-border communication and discussion, and more. Advance your career through learning and networking opportunities, and share your experiences in the finance and insurance industries, as well as other fields related to actuarial science.