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As the popularity of BNPL and online consumer credit products explodes, they are more and more targeted by organized fraud networks. Banks and payment providers have to balance growth and risk to make these new products profitable. With graph analytics, anti-fraud teams can quickly stop fraud networks and make online credits more profitable.
  • How fraud networks commit BNPL and consumer credit fraud
  • How to use graph analytics to detect synthetic identities and fraud rings
  • How to combine real-time risk scoring and forensics investigations effectively
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Thibaut Kellam
Head of Customer Success
Thibaut Kellam is the Head of Customer Success at Linkurious and Certified Anti Money Laundering Specialist (ACAMS). Before joining Linkurious to support financial institutions in the adoption of graph technology to fight financial crime, Thibaut was a KYC/Compliance analyst and a Financial Security Manager at BNP Paribas.
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Andrea Berni
Solutions Engineer
With 4 years of experience as a technical advisor in B2B processes, Andrea supports Linkurious’ clients dealing with technical challenges, ensuring they gain the most value out of Linkurious Enterprise. MSc. In Computer Science from La Sapienza, Italy. Thesis in Ontology-Based Data Access.