Description: If anyone is a paradigm of the notion that learning never stops, it’s Head of Actuarial Modeling and Experience Study for Munich RE Winnie Liu. Winnie set her sights on new horizons after almost 20 years in the insurance industry. Her interest in cutting-edge predictive analytics had been budding for years, and in 2017, she set out to earn her Predictive Analytics (PA) Certificate from the Society of Actuaries (SOA).

Description: View 2018 Kaggle Involvement Program Results.

Description: Using the Cox proportional Hazards Model to improve underwriting debits and credits.

Description: Career changes typically follow a major milestone—a promotion, a job offer, a new degree, maybe a cross-country move. For Patrick Getzen, exposure to some new perspectives ignited a shift.

Description: Defines Accelerated Underwriting programs as a transformational trend, and outlines a process for evaluating mortality implications of such programs.

Description: This article describes methodologies for detection and deterrence of Medicare fraud. It also describes the validation of PRIDIT for fraud detection in Medicare.

Description: Results of a survey of healthcare organizations regarding use and plans for Predictive Analytics

Description: After a decade of traditional actuarial work in health care, David Sotelo was seeking a new kind of opportunity to make an impact. He found it at Collective Health, where he works with a team of actuaries and data scientists that use analytics to streamline health insurance.

Description: View 2017 Kaggle Involvement Program Results.

Description: Describes actuarial approaches used to quantify the benefit to employers of implementing financial wellness programs for their employees.