A platform devised to solve many different challenges, Percentile's RiskMine award winning software has delivered time and time again.
Latest news: We've launched RiskMine FRTB - Standardised Calculator. Find out more.
Improve operational efficiency, reduce errors in unnecessary manual work and enjoy the power of seamless risk aggregation. RiskMine provides an entirely automated data pipeline for a firm's risk data in any format. It incorporates automation to collect, process and aggregate in an efficient and scalable manner. Flexible configuration and bespoke in-memory cubes mean Risk Managers spend less time fighting daily data issues and more time achieving their goals.
Regulatory requirements as well as prudent risk management needs call for comprehensive stress testing abilities. Whether it is ad-hoc intra-day stress tests, or regulatory VaR and Expected Shortfall calculations, we have the solution that provides a flexible and bespoke framework for stress testing. With user-defined stress tests via a simple tool, sophisticated dynamic proxy-mapping and transparent drilling into the drivers of any calculations, we provide the tools necessary to turbo charge stress testing capabilities.
For effective scenario generation and portfolio analysis you need copious amount of market data and clean reference data. We have integrated into most major data vendors including Bloomberg, Reuters, Xignite, S&P, Moody, etc. delivering comprehensive time series management capabilities. We reduce the manual effort of integration and data management as well as providing transparency and audit trails for compliance requirements.
Over many years we have perfected our distributed computation and reporting platform, integrating into many different pricing analytics and delivering truly scalable risk calculations. Whether you require a few compute nodes, or hundreds, or even thousands, RiskMine's Wildfire architecture provides intelligent distribution required for true scalability. With increased computational ability comes the need for efficient data management. We have delivered multi-terabyte sized in-memory cubes for analysis of daily and historical risk data.