ML & Graph algorithms to prevent financial crime in digital payments

Nexi introduction - Alberto Danese, Head of Data Science at Nexi Payments

What does it mean doing ML and Data science in the European Paytech?

ML & Graph algorithms to prevent financial crime in digital payments - Paolo Testa, Lead Data Scientist at Nexi Payments

Keeping financial crimes under control is one of the challenges that paytech firms like Nexi have to face. While rule based approaches are still widely used in the industry, in Nexi we've built different ML based solutions that combine supervised ML and graph based approaches, to help anti money laundering experts in reducing operational time and cost linked to their analysis.We'll explain the solution that has been developed as part of Infinitech, the H2020 Fintech Flagship Project of EU, and is available on the public portal of the project.

Topics: #DataScience #MachineLearning #Neo4j #SageMaker #python #XGBoost #explainability

Bio:

• Alberto is the Head of Data Science at Nexi, the European Paytech.He's originally a computer engineer and has 15 years of experience, mostly in financial services. He spent countless hours on Kaggle, where he's a Competitions Grandmaster, and has been sharing his experience as a speaker in several AI events, via his blog "All About Data" (in Italian, https://allaboutdata.substack.com/) and with the book "La Cultura del Dato" (i.e. "Data Culture", published in 2022).

• Paolo is Lead Data Scientist in Nexi, the European Paytech. He has 10 years of experience in ML & Data Science applied to public health, manufacturing and digital analytics. He holds a Master’s degree in Statistics and a Bachelor’s degree in Computer Science. He is also community manager of Data Science Milan, a community of +2K data enthusiasts based in Milan, organizing in-presence and online tech talks.

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Event details

This event is hosted by Nexi Payments at the Milan office. The event will be held in English. At the end of the talks there will be a networking aperitif with food and drinks.

Attending in presence:

There will be 50 seats reserved to the community. If the tickets are sold out you can register on the waitlist, we will apply a first-in first-out policy to assign seats in case of cancellations.

Attending remotely:

The event will be streamed live on our Youtube channel (https://www.youtube.com/c/DataScienceMilan).

Agenda:

18:45 Welcome and Opening

19.00 Intro to the Data Science Milan community

19.05 Nexi Introduction

19.15 Tech talk starts - Q&A

20.15 Networking aperitivo

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