Using Python to Solve Complex Modelling, Valuation and Risk Challenges
Python has become the programming language of choice for financial institutions looking to solve complex modelling, valuation and risk challenges. Benefits of Python include its ease of use, flexibility, the large ecosystem of libraries, and its ability to enable developers and quantitative professionals to speak the same language. However, Python does have its limitations.
Please join FINCAD for a Python breakfast briefing at Amsterdam South on the 19th of March where we will discuss:
- How to use Python for quantitative modelling and data integration
- Challenges / limitations of implementing Python into data-intensive processes
- Types of solutions and technologies firms are adopting to support Python
Additionaly, speakers from FINCAD and Cardano will explain how to sucessfully balance the risks and rewards using Python.