Fraud Analyst: Lead Risk Detection & Case Ownership

Qonto

Paris

Presencial

EUR 55.000 - 80.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Specialised Fraud Team
Ownership of caseload
Defined career levels (L1-L3)

Descripción de la vacante

Qonto is seeking a Fraud Analyst for the France market, based in Paris. You will detect and prevent fraud to protect customers and the company, joining a dedicated Fraud team of about 7. You report to the Senior Team Lead Fraud and help secure Qonto's payments and onboarding processes.

You will leverage an AI-enabled toolkit, handle sensitive customer interactions, and collaborate with Risk and Security to strengthen detection and scale fraud prevention across Europe.

Formación

  • Experience handling complex fraud or AML cases at senior level.
  • Evidence-based and creative thinking to detect patterns and solve cases.
  • Confident communication with customers and counterparties in sensitive situations.
  • Fluency in English and French; Portuguese is a plus.
  • Willingness to learn and leverage AI tools to improve work.

Responsabilidades

  • Monitor transactions to detect fraud patterns, focusing on scams and account takeovers.
  • Independently investigate complex fraud cases and implement preventive measures across products.
  • Run risk assessments on new products and features to keep onboarding robust.
  • Own medium-scale fraud projects end-to-end, aligned with Lead objectives.
  • Collaborate with Risk and Security teams to strengthen detection.

Conocimientos

Fraud/AML experience
Investigative mindset
Clear communication
English fluency
French fluency
AI-native learning mindset
Portuguese (nice to have)

Descripción del empleo

Qonto is seeking a Fraud Analyst for the France market, based in Paris. You will detect and prevent fraud to protect customers and the company, joining a dedicated Fraud team of about 7. You report to the Senior Team Lead Fraud and help secure Qonto's payments and onboarding processes.

You will leverage an AI-enabled toolkit, handle sensitive customer interactions, and collaborate with Risk and Security to strengthen detection and scale fraud prevention across Europe.

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