Case Study: a leading UK bank achieves faster, more accurate quantitative finance validation with Maplesoft Maple

a leading uk bank cuts validation time to a third with Maplesoft

The quantitative analysis team at a leading UK bank required a tool to rigorously validate the complex mathematical analytics underpinning their financial pricing and risk assessment models. Robert Gibson, a quantitative analyst at the bank, turned to Maplesoft's Maple mathematical problem-solving software to perform these heavy symbolic and numeric computations, which were prone to error and time-consuming when done manually.

By using Maple for validation and independent checks of code written in other languages, Maplesoft provided a fast and accurate mathematical engine. This solution reduced validation time to roughly a third or a quarter of the previous duration and minimized errors. Specific applications included performing discrete Fourier transforms, root finding for pricing instruments, and matrix algebra, enhancing the team's overall robustness and efficiency.