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Financial Services

Grid Computing for Financial Services

Overview

Today, Financial Services companies of all sizes are driving the next evolution of grid computing by working with AWS to expand their on-premise capabilities to the cloud. These organizations require increased computing power to address ever-changing industry conditions: stringent capital obligations, more rigorous and frequent stress testing requirements, market fluctuations, accelerated product development lifecycles, and greater regulatory oversight of financial products.

By building grids with AWS, Financial Services organizations are able to navigate through these conditions and take advantage of cloud-enabled benefits, such as elastic capabilities to scale to peak processing demands at a moment’s notice, automation features to minimize manual processes, and lower costs with a pay-as-you-go consumption model, among others.

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Benefits

Why AWS for Financial Services Grid Computing

Scalability

A blank white image used as a placeholder for auto partner content on the AWS Industries webpage. With AWS, organizations use Amazon EC2 to spin up compute resources to instantly meet peak processing demands and de-provision after the workload is complete. Learn more »

Unlimited Storage

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Variable Instance Types

A blank white image used as a placeholder for auto partner content on the AWS Industries webpage. Amazon EC2 supports different instance types that comprise varying combinations of CPU, memory, storage, and networking capacity—optimized for your application. Learn more »

Cost Optimization

A blank white image used as a placeholder for auto partner content on the AWS Industries webpage. AWS' pay-as-you-go model offers 4 EC2 pricing instance structures to enable cost efficiencies—On-Demand, Reserved, Spot, and Dedicated Hosts. Learn more »

Security & Compliance

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Big Data Solutions

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Automation Capabilities

A blank white image used as a placeholder for auto partner content on the AWS Industries webpage. With AWS Batch and AWS Lambda, you can automatically provision the optimal quantity and type of compute resources, based on specific requirements. Learn more »

Management Services

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Sample Reference Architecture for Grid Computing

To help you get started, access a sample reference architecture of a grid computing solution that many of our Financial Services customers are deploying in their respective environments.

This configuration of AWS services enables on-demand capacity so users can shut down their workloads when jobs are completed. Customers can also take advantage of advanced features, such as transient clusters or auto-scaling clusters that allow environments to expand and contract depending on your job load.

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Use Cases

Capital Management and Reporting

Regulations such as CCAR, Solvency II, and FRTB require organizations to report capital positions, which calls for increased demand and frequency of simulation-based calculations for market, credit, and counterparty risk.

Risk Management Portfolio Optimization

Flexible grid-computing capabilities allow portfolio managers to conduct simulations that: 1. identify risks within their portfolio of products, hedging opportunities, and areas for optimization; and 2. model the impact of hypothetical portfolio changes.

Contract Pricing and Valuation

The industry relies heavily on simulations for pricing and valuation of financial products, including credit and interest rate derivatives and variable annuities. This requires stochastic models with heavy use of Monte-Carlo simulation methods.

Product and Strategy Development

The development of new financial products requires extensive historical back testing and market simulations. Being able to spin up a development environment instantly with AWS is also a benefit that can accelerate product deployment.

Get started

Leading companies in the financial services industry are already using AWS. Contact our experts and start your own AWS Cloud journey today.

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