Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK

How to mitigate mobile fraud risk by data analytics

SEONMIN KIM (LINE)
12:0512:45 Thursday, 2 May 2019
Data Science, Machine Learning & AI
Location: Capital Suite 15/16
Average rating: ****.
(4.00, 6 ratings)

Who is this presentation for?

  • Payment fraud analysts, data risk analysts, service abuse analysts, and data analysts

Level

Beginner

Prerequisite knowledge

  • Basic knowledge of fraud, payments, and risk
  • Hands-on experience with data analysis tools

What you'll learn

  • Learn how to handle different types of fraud in mobile payments, using various data analytical skills

Description

With the development of mobile internet and finance, fraud risk comes in all shapes and sizes. Seonmin Kim offers an introduction to fraud risk management at LINE using big data analytics. Seonmin describes the various fraud types that can occur in mobile payments and shares various data-driven approaches and activities used to identify and detect them.

Topics include:

  • Fraud patterns in a single account (tree-based machine learning)
  • Fraud patterns using multiple accounts (graph analytics)
  • A risk-based whitelist model to analyze aggregated risk score for business purposes
Photo of SEONMIN KIM

SEONMIN KIM

LINE

Seonmin Kim is a senior data risk analyst at LINE, where he’s a key member of the trust and safety team that handles payment fraud and content abuse using data analytics. He has over nine years of extensive experience identifying fraud and abuse risk across various business domains. His primary focus is on AI and machine learning for payment fraud and abuse risk.

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Comments

Picture of SEONMIN KIM
SEONMIN KIM | DATA RISK ANALYST
23/05/2019 9:33 BST

You can download my presentation now :)

Anna Battle | MACHINE LEARNING ANALYST
10/05/2019 18:13 BST

Thank you for the great presentation. Any chance you could share the slides?

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Pierre GERBAUD | DATA CONSULTANT
7/05/2019 10:08 BST

Session was really insightful. Would you please be able to share the presentation ?