The mean and variance of a probability distribution may not reflect what one wants from a scenario involving uncertainty. In particular, such measures fall short of expressing risk in a way suitable for financial and similar applications. In this talk we will discuss two measures of risk: Value-at-Risk and Conditional Value-at-Risk, as well as their connection to convex optimization.