Here are some examples of problems financial services customers are typically trying to solve:
- Value at Risk (VaR) – end of day / intraday – Monte Carlo simulation based or based on historical market data
- Pricing model validation / back-testing
- Model changing risk intraday to drive hedging strategies
- Sensitivity analysis / “what-if” analysis
- Accurately measure risk to optimize capital reserves
- Counterparty credit risk analysis
- New product development
- Pre-trade limit checks
- Calculate key measures like CVA on a pre-deal basis
- Timely reporting to meet regulatory requirements
- New regulatory requirements driving increased need for HPC
In all of the above examples, customers parallelize the application(s) via APIs and tools provided by Symphony. Fine grained units of workload are submitted to Symphony. Symphony schedules those units of workload to the all of the available resources based on the configured policies.
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