Harnessing the scale of AWS for financial simulations

This article discusses how to harness the scale of AWS for large-scale financial simulations, focusing on calculating option prices using Monte Carlo simulations with the QuantLib open-source library.

Specifically, the article covers:

• The advantages of using cloud computing like AWS for financial simulations, such as flexible pricing, massive compute environments, and versatile instance choices.
• Using AWS Batch for batch-oriented financial simulation workflows and AWS Lambda for smaller, faster jobs requiring low latency.
• A reference solution architecture for running cloud-native financial simulations on AWS, involving services like Amazon S3, Amazon EventBridge, AWS Batch, and AWS Lambda.
• A continuous integration and continuous deployment (CI/CD) workflow for developing and deploying financial simulation code using AWS CodePipeline, AWS CodeCommit, AWS CodeBuild, and Amazon ECR.
• A published AWS workshop that provides a hands-on implementation of this solution for calculating American Option prices using QuantLib.