We look at models of competition and risk within the context of power system markets. We demonstrate when social optima exist, what properties on risk measures and contracts are needed, and how to solve these problems in large scale practical settings. We look at specific structures that give rise to significant enhancements in computational performance. We position these models within a general setting of Nash Games that include linking equilibrium constraints and situations where players solve multi-period stochastic programs.