In this issue we start with a case study on a model optimisation project we undertook for a large Asia client. We describe various techniques used and the impact they had in reducing the model run time. The second article introduces replicated stratified sampling, a novel technique to reduce model run time without compromising the accuracy of results. We round off with a report back from two MoSes Azure roundtables held at the end of March in Paris and Milan and other news from the financial modelling world.