Design, develop and maintain dashboards and reports to track key fraud and chargeback metrics (fraud rate, risk score, win/dispute ratio, etc.)
Detect fraud patterns in near real-time and participate in implementing scoring and business rules to prevent high-risk 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.

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

Hybrid working arrangement + a €350 contribution toward remote work equipment
25 paid vacation days per year & 10 RTT days per year
Coffee, tea, snacks, Monday breakfasts, Friday after-work drinks and other events for a vibrant team life
Offices in Paris’s 13th arrondissement (Bibliothèque François Mitterrand)
Swile card (meal vouchers) valued at €10 per day (56% covered by Payplug)
Alan health insurance (Blue program) 60% covered by Payplug / Second-parent leave (Parental Act)
Public transport or Vélib subscriptions 50% covered by Payplug
Moka.care for mental health support
Windoo: sports, wellness and personal development activities
2 days per year offered to volunteer for team-building activities with associations via DayOne

Data Analyst – Fraud and Chargebacks

Key skills