The risk management and compliance discipline of the financial services industry is well-suited to take advantage of an On-Demand computing model. Financial service companies deploy high performance computing (HPC) infrastructures to support processes such as trading analytics, customer analytics and segmentation, fraud detection, anti-money laundering, transaction monitoring for insider trading, credit limit decisions, and compliance with statutes like the Sarbanes-Oxley Act, Basel II and the USA Patriot Act. More sophisticated and accurate analytics are possible with an increase in granularity and scale of modeling functions.

There is significant competitive advantage in the ability to run several risk scenarios in parallel to generate an optimal solution as quickly as possible, without sacrificing accuracy and performance. Near real-time analysis is possible. Risk management and compliance application run times can be reduced from overnight to intra-day and from hours to minutes.  Business decisions can be accelerated. Cost and time of reporting can be reduced and clients can comply with regulations more efficiently and cost effectively.