In the division »Analytics and Computing«, we develop customized software solutions – from lean tools with expandable modules to comprehensive applications with graphical user interfaces and system connections in the departments of »Financial Mathematics« and »High Performance Computing«.
Our expertise ranges from statistical modeling and algorithm development to implementation in common object-oriented languages such as C++, C#, or Java, and we also work with R, Matlab, or VBA. Especially when evaluating complex financial and insurance topics, we use numerical methods such as Monte Carlo approaches or time series methods and consistently translate current research into practical solutions.
In addition, we use state-of-the-art High Performance Computing methods to map computationally intensive processes efficiently and scalably. This includes parallel programming as well as simulation- and data-based applications, for example in seismic data processing or complex calculations (GRT, RTM, beam migration). Our platforms, tools, and services enable existing systems to be expanded efficiently and new applications to be operated sustainably. Feel free to contact us!