Hybrid Data Analyst – Fraud and Chargebacks

Posted 38 minutes ago

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About the role

  • Data Analyst specializing in fraud detection, analysis, and prevention at Payplug. Responsible for key performance indicators and decision-making analyses in payment solutions.

Responsibilities

  • 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.

Requirements

  • 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.

Benefits

  • 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

Job title

Data Analyst – Fraud and Chargebacks

Job type

Experience level

JuniorMid level

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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