Python is the most popular programming language in the world and continues to go from strength to strength, with the emergence of new high-performance libraries to support large data processing and machine learning models. The actuarial community is increasingly using Python for pricing, data processing and risk analysis work, but there has not yet been a wide-scale adoption of Python for internal capital models.

This discussion panel will take on the questions of:

• What are the potential advantages of adopting a python-based approach to capital modelling?
• What examples have we seen so far of Python being used in or around capital modelling, and how well have these worked?
• What are the potential challenges and pitfalls?
• What is the role of the consulting community in supporting companies considering this approach?
  

This discussion is for anyone with an interest in actuarial and capital modelling technology. It should be of particular interest to people in Head of Capital, CTO, or CRO roles who have open questions about their technology stack and the potential that Python offers.

Martin Cairns, FTI Consulting

Daniel Gelderd, Consultant

Lorna McKinnon, McKinnon Actuarial

Felix Rubin, MS Reinsurance

Nasir Shah, Enstar Group

Karl Stanley, Oak Reinsurance