AWS re:Invent 2016: Grid Computing for Risk Management on AWS (FIN304)

In this session, we explain how Financial Services organizations can leverage AWS grid computing capabilities to perform large-scale calculations for risk management purposes. Numerous financial services companies face the same basic challenge: modeling multiple scenarios with different risk factors simultaneously or in quick succession in order to make informed decisions that maximize gains and minimize financial loss. Some examples of these workloads include Monte Carlo simulations, price model validation and back-testing, and risk calculations for hedging and capital optimization strategies. We provide programmatic guidance around what AWS services to use when running a grid computing cluster that requires thousands of cores and specific industry use cases and key benefits around speed and costs that the AWS platform, auto-scaling capabilities, and various compute services can help achieve.

via Amazon Web Services

About The Author
- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit

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