Machine Learning in Banking & Finance - A FINTECH use case

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Speaker: Nicholas Parini, Head of Data Science at Moneymour
https://www.linkedin.com/in/nicholasparini/

Topic:
Machine Learning in Banking & Finance - A FINTECH use case

Schedule:
7:00pm - 7:30pm - ODSC Intro, Networking
7:30pm - 8:20pm - Talk
8:20pm - 8:30pm - Q&A
8:30pm - 9:00pm - Networking, Pizza & Refreshments

Bio:
Nicholas is Head of Data Science at Moneymour. At Moneymour he is developing machine learning algorithms in order to provide instant lending service to clients. Before starting working at Moneymour he worked for advisory firms in Finance & Risk Analytics, developing models for different types of risks in different banks. Now he is enthusiastic about innovation and aims to create disruptive products that can simplify the usage of complex services.

Abstract:
The usage of Machine Learning in finance has a wide range of applications. Banks and financial institutions are trying to understand the impact of these technologies and algorithms on their structure and processes. Regulation and markets are giving space for new companies that can bring disruption and offer new products and user experiences to costumers applying new technologies and approaches.

In this talk, it will be presented an application of data science in banking and finance and a use case of advanced analytics and machine learning applied to Credit Risk. the focus will be: catch the behavior of clients.

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