SeaMoney/ MariBank Data Analytics Workshop

Exciting Opportunity for Undergraduates: Keen to learn more about how Data Analytics is applied in a Digital Bank? Join us in a talk hosted by Singapore’s New  Virtual Bank of the Year 2024, MariBank, to learn more!

Are you interested in Data AnalyticsMachine Learning, in a Fintech industry? Here's your chance to dive deep into how these cutting-edge tools are used to prevent money laundering in a digital banking platform!

What’s in it for you?


 In this hands-on workshop, you'll learn:

  • How Machine Learning Models and Analytics Strategies are applied to safeguard our digital bank platforms.

  • Insights from Literature & Articles that inspire strategies to detect and prevent money laundering.

  • Real-World Applications of Data Analytics in the banking industry, focusing on anti-money laundering.

  • Work on a Real-Life Inspired Case Study: Gain practical experience by working through a case study based on actual money laundering investigations faced by banks. You'll apply the knowledge and strategies you’ve learned to analyze and uncover potential fraudulent activity.

Plus, Discover Career Opportunities!
 At the end of the session, learn about exciting career opportunities with SeaMoney and MariBank, where you can be part of cutting-edge solutions in the digital finance world!

Event Details:

  • Date & Time: Wednesday, 26 March, 2025, 2:00PM – 4:30PM 

  • Location: Shopee Building Level 1 Lobby (5 Science Park Dr, Singapore 118265)

  • Target Audience: Undergraduates passionate about Data Science, Machine Learning, Finance, and Compliance

Don’t miss out on this unique chance to network, learn, and unlock future career possibilities!

Register Now! (Deadline: 21 March 2025. Limited slots available so register early!) ​

See you there!

SeaMoney/ MariBank Data Analytics Workshop  Organizer Logo

Company Workshop

Date: Wednesday, 26 March 2025

Time: 2pm – 4.30pm

Event Venue: Shopee Building Level 1 Lobby (5 Science Park Dr, Singapore 118265)

Industry: Information Communications Technology

Faculties: All Faculty/ Schools

Target Audience: All undergraduates

Dress Code: Smart Casual

Register