Fintech: Emerging Technologies for Banking and Financial Services

Fintech: Emerging Technologies for Banking and Financial Services

Fintech: Emerging Technologies for Banking and Financial Services
  • Date de début 01 février 2021 - 09:00
  • Durée 14 hours
  • Lieu Maison du Savoir
    2, avenue de l'Université
    L-4365 Esch-sur-Alzette
  • Langue Anglais
  • Prix HT 850.00 

Contexte de la formation

Whether you are active in payments and settlement, banking and enterprise risk management or (re)insurance, the importance of Fintech using AI, Big Data and Blockchain has become substantial.

With this training, you will rise up to the challenge and understand how to use large data sets, machine learning and blockchain functions to identify problems, solutions, challenges and opportunities to leverage success.


After completing the course, participants will be able to :

  • Understand the context of the rapid shift over the last decade to disruptive technologies applied to e.g. banking, payment and settlement services, insurance, and regulation
  • Understand how large data sets are useful for sentiment analysis, targeted advertising and actuarial statistics
  • Understand how machine learning and neural networks work
  • Extract patterns from large data sets to improve prediction and planning, and how AI supports customer engagement via chatbots
  • Understand how a distributed ledger technology such as blockchain functions, how it provides a natural environment for cryptocurrency assets, and how token economics is used to study their general application
  • Apply existing and new approaches of economic, financial and business reasoning to understand how distributed ledger technologies impact e.g. corporate finance, securitisation and incentivisation
  • Analyse use cases taken from real-world examples in areas specific to audience interests: previous examples have included trade finance, payments, insurance, risk management…
  • Evaluate different data science and/or distributed ledger technology adoption workflows in a workshop environment, using a business model canvas framework to identify problems, solutions, challenges and opportunities

Programme de la formation

This hands-on 2-day training introduces subjects in the morning sessions. In the afternoon sessions, use cases and workshops will focus on the topic material from the morning.

  • February 1st – Fintech & Data Science
    • Introduction to Fintech
    • Data Science I: The Advent of Big Data
    • Data Science II: Artificial Intelligence
      • + Use Case & Workshop
  • February 2nd – Distributed Ledger Technologies
    • Introduction to Distributed Leger Technologies
    • Token Economics I: Crypto Assets
    • Token Economics II: Incentivisation
      • + Use Case & Workshop


  • Shorish Jamsheed
    • Dr. Shorish earned his PhD and Master’s degrees in Economics from the Tepper School of Business, Carnegie Mellon University (USA). He also holds a Bachelor’s degree in Economics from Carleton College (USA).
    • Dr. Shorish is a Senior Advisor to Uberlink Corporation, a Canberra-based technology firm offering its flagship Software-as-a-Service, VOSON—the Virtual Observatory for the Study of Online Networks—for social media and hyperlink network collection and analysis. He is also associated with the ANU’s VOSON Lab, where VOSON is used for research, research tool development, teaching & training.

Partager cette formation sur :