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Scientific Software Engineering

At VORtech we mostly work on extending and improving existing code. Let us explain why this is so important and how it works. 

Automatic trading, portfolio optimization, and insurance valuation were the topics of the first part of this blog. In this second part, we will further discuss the added value of technical experts in finance. We do this by looking at how credit data can be managed at banks, how algorithms can help to prevent future credit crises, and how data science can provide insights into mortgage loans. These three financial topics are very different at first glance. But they have some common parts: they benefit from a technical engineering solution, through mathematical techniques and scientific software.

Since the credit crisis, banks and insurers have become a lot more cautious. This can be seen from the financial models that are used: they are getting increasingly more ingenious and complex, partly due to new insights and stricter regulations. Risks of products are better assessed, more advanced investment strategies are implemented and more aspects are included in order to assess the financial market more realistically. The tendency is that more and more highly skilled engineers are hired to support this complex matter. These technical experts prove their value in finance. In this blog, we will go into this further based on a number of relevant finance projects that have been carried out at VORtech,.

Simulation of the world around us by numerical computation has improved a lot in the past decades. Together with Johan Dijkzeul we will look back at this period.

Models and sensor data are an indispensible combination. Sensor data is needed to validate models and the models are often necessary to understand and extrapolate the data. VORtech has been working a two very exciting projects in the past few months in which sensor data and models are combined in an innovative application.

When I first heard the term Digital Twin, I was immediately fascinated. It opens up an entire new realm of simulation.

In the 20 years that VORtech has been in the business of scientific software engineering, we've seen many different codes and witnessed many different development processes.

Fortran is alive! Mark Roest considers five reasons why the Fortran programming language isn't dead and survived the punchcard.

Are we indeed witnessing the end of traditional mathematical modelling and should its practitioners be looking for a new job?