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.
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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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You can download my presentation now :)
Thank you for the great presentation. Any chance you could share the slides?
Session was really insightful. Would you please be able to share the presentation ?