Fraud & Chargebacks Data Analyst at Payplug responsible for designing dashboards and detecting fraud patterns. Collaborating with various teams to streamline fraud detection and prevention efforts.
Responsibilities
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
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