Hybrid Fraud & Chargebacks Data Analyst

Posted 3 weeks ago

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About the role

  • Design, develop and maintain dashboards and reports to track key fraud and chargeback metrics (fraud rate, risk score, dispute win rate, etc.).
  • Detect fraud patterns in near real-time and contribute to implementing scoring rules and business rules to prevent risky transactions.
  • Automate dispute workflows (gather evidence, prepare claims, track status) and collaborate with Operations, Support, Compliance and Product teams.
  • Build and test predictive models (classification, anomaly detection) to prioritize investigations and reduce false positives.
  • Document processes, rules and analytical results, and train stakeholders on key metrics and tools.

Requirements

  • 2+ years of experience in data analysis, ideally in payments or fintech (experience in fraud prevention, risk analytics, chargebacks or e‑commerce is a plus)
  • Expert-level experience with Tableau Cloud
  • Proficient in SQL (Python knowledge is a plus)
  • Familiar with supervised and unsupervised machine learning methods applied to fraud detection
  • Clear communicator, able to translate technical analyses for non-technical stakeholders

Benefits

  • Hybrid work arrangement + a €350 contribution for remote-work equipment
  • 25 paid vacation days per year & 10 RTT days per year
  • Coffee, tea, snacks, Monday breakfasts, Friday social drinks and other team events
  • Offices in Paris’s 13th arrondissement (Bibliothèque François Mitterrand)
  • Financial benefits:
  • Swile meal card worth €10 per day (56% covered by Payplug)
  • Health / family: Alan health insurance (Blue plan) 60% covered by Payplug / Second Parent Leave (Parental Act)
  • Public transport or Vélib subscriptions 50% covered by Payplug
  • Other:
  • Moka.care for individual mental health support
  • Windoo: sports, wellness and personal development activities
  • 2 days per year offered to participate in team-building volunteering with associations via DayOne

Job title

Fraud & Chargebacks Data Analyst

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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