Over the past 25 years, catastrophe analytics has made a remarkable imprint on the insurance and greater financial markets. By applying probabilistic modeling practices to an ever-advancing technological ecosystem, catastrophe modelers can provide the means to efficiently trade risk, which facilitates an acceleration of capital into risk-bearing markets. The study of Hurricane Andrew, Northridge Earthquake, 9/11, Hurricane Katrina, Joplin Tornado and other recent disasters both inform model calibration and steer the economy toward increased resilience in an uncertain world. Graduates in mathematics are currently in high-demand in this industry to fill positions in what is a young and growing profession.