Leveraging LLMS for code conversion in finance: best practices and challenges
by Bram Jochems
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Bram JOCHEMS is partner at Risk at Work and helps clients in the areas of quantitative finance, data science and IT. | ||
BACKGROUND
In the finance sector, there is a trend to convert models and code from one language to another, amongst others due to the following reasons: • Productivity gains: enhancing and improving current workflows with new implementations that can further automate tasks, can lead to efficiency gains. • Improve maintainability: existing codebases can become difficult to maintain and finding developers with expertise in languages that have become less popular can be challenging. • Performance boost: due to increasing demands on the existing systems a performance boost might be required. • Quality boost: the quality of existing code and models might not meet modern standards.
Disclaimer:
This article represents the opinion of the author, and not necessarily the opinion of the AAE.
This article was published in The European Actuary No. 41 – March 2025
