The use of sophisticated mathematical tools in financial engineering—ranging from partial differential equations to stochastic analysis and numerical methods—has been growing steadily during the past few decades. On one hand, mathematical tools and results have impacted the way financial phenomena are modeled and understood, and how risk is assessed and managed. On the other hand, the financial industry has presented a number of mathematical and computational challenges to researchers.