1. Evolution of Machine learning in Financial Risks.

2. Blackbox vs Whitebox

3. How ALM can leverage Machine Learning.

4. Use practical case using python.

Presenter: Sergio Cardona: Quantitative Leader MAT, Mirai Advisory

Sergio is responsible for developments that could require any of the following areas: numerical methods, machine learning, and applied math.

A strong enthusiast for building reliable models from complex realities that the current financial industry faces, and in particular to create useful tools for assessing and measuring the impact of financial risks.

I love to work with teams from different disciplines, it's the best way to really develop new powerful ideas.

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