For a class of nonlinear stochastic systems in strict-feedback form, where the diffusion coefficients are allowed to depend on the state, we obtain risk-sensitive state-feedback controllers which are both globally inverse optimal and locally sub-optimal. These controllers also lead to closed-loop system trajectories that are bounded in probability. The paper concludes with a numerical example that illustrates the design.