Leveraging LLMs for Code Conversion in Finance: Best Practices and Challenges

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This article explores how LLMs can be leveraged for code conversion in finance.

Leveraging LLMs for Code Conversion in Finance: Best Practices and Challenges

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 notmeet modern standards.

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Over de auteur

Bram Jochems MSc

Partner at Risk at Work and helps clients in the areas of quantitative finance, data science and IT.