Desk Quant Rapid Trading Case Generation

To quickly respond to market opportunity, a desk quant needs to have a rapid development environment. This can be enabled by using the desktop version of Quantlab to quickly build and visualize trading scenarios. When it comes to fixed income trading in particular, a fast quant library together with high quality market data, instrument and curve definitions are essential. Having real time quotes from sources such as Bloomberg and Reuters integrated into the solution are essential.

Realtime Trading Risk Management

Using the real time fixed income curve generation together with rapid deal entry directly into a Quantlab user-interface, one of our clients have implemented an overlay application to quickly assess sensitivities to a range of risk factors. If transactions are spread over many front office systems and sites, having a unifying risk application is the key to getting deals done. Profitable and within limits.

Enterprise wide Market and Counterparty Risk

Using the ARMS risk management system, a complete overview of a trading bank’s risks can be achieved. Running sets of +1 million unique positions and getting results broken down to risk factor and position level can be done in minutes. Not days or hours. Combined with real time handling and recalculation of current market values, risk limits can be monitored and enforced intra-day.

Corporate Bond Market Making

We have successfully implemented a multi-user client server based, market making application using the Quantlab Server together with a Quantlab user interface. Deployed at multiple banks, the solution has several methods of pricing Commercial papers, bonds and floating rate notes, relating to benchmark bonds or using spread curves and the swap market. The system subscribes to market data and contributes real time prices on popular pricing platforms and to information vendors.

Enterprise Data Management. One Stop Shop

One of our greatest client stories to date is when our History Server replaced three legacy systems for collecting financial data at a large global bank. Using a single point of entry for market data, corporate actions, instrument static and index constituents from a multitude of different sources, provided for great savings in amount of data purchased. Using the History Server, it is possible on a ticker and field level to control costs and access. An expert operations team handles daily validation of over +200K data points each day, finding and correcting data anomalies. Further benefits are realized, as more than +50 consuming systems, each day get timely, validated, and synchronized data to run daily business with a minimum of disruption.