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Finance Blog


Pushing finance to a higher level with scientific software engineers (part 2)

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.
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Pushing finance to a higher level with scientific software engineers

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,.
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