Financial Modeling Support
Quantitative Analysts are an expensive resource to employ within financial institutions. Their job is to solve complex financial mathematics and they are some of the best paid resources on Wall Street. However, when these complex algorithms are put into production, 90% of the time the end users contact the Quant Analytics team to provide a support function when in fact, 95% of the problems are based on third party dependencies e.g. real-time feeds going down, curves not properly updated by another desk/trader, contributing application not operational…
Using the ADaM Framework, based on the layers required to support the end user, the dependencies between the multiple components that deliver the end result to the user can be discovered, mapped, managed and controlled on an ongoing basis; reducing the time spent by the Quant in supporting the user and allowing them more time to work on the complex algorithms.
By mapping the Business Categories, Business Applications, Models Employed, Underlying Curves, Sources of Information and Market Data Feeds, coupled with the ability to discover if one or more of the dependencies is functioning in real-time, the source of any miscalculation can be traced and the respective owner responsible for the service can be contacted directly. Such knowledge significantly reduces the support requirements on the Quant Analytics team and allows the user to get support directly from those responsible in a timely fashion.
