This work introduces a sequential convex programming framework for non-linear, finitedimensional stochastic optimal control, where uncertainties are modeled by multidimensional Wiener process. We prove that any accumulation point of the sequence iterates generated is candidate locally-optimal solution original problem in sense Pontryagin Maximum Principle. Moreover, we provide sufficient condit...