Payplug

1 Job

281 Employees

About the Company

Payplug is the French payment solution designed for merchants, e-merchants of all sizes and fintechs.

With our cutting-edge technology platform, our dedicated conversion tools and our unique mastery of the payment chain, we give you the means to strive for, and exceed, your best.

Payplug is a team of 400 passionate people dedicated to helping you achieve your greatest ambitions. We currently support 20,000 SMEs, such as Hast and Plante pour tous, as well as large groups such as Maisons du Monde, Veepee and kiwi.com.

Payplug has been part of Groupe BPCE since 2017.

Listed Jobs

Company Name: Payplug
Job Title: Data Analyst (Fraud and Chargebacks)
Job Description: Job title: Data Analyst (Fraud and Chargebacks) Role Summary: Design, develop, and maintain dashboards and reports to monitor fraud and chargeback metrics. Identify real‑time fraud patterns, implement risk scoring rules, automate dispute workflows, build predictive models, and communicate findings to non‑technical stakeholders. Expectations: - 2+ years of data analysis experience, ideally in payments, fintech, or e‑commerce. - Proven ability to translate complex data into actionable insights for business teams. - Strong analytical mindset with a focus on fraud detection and risk mitigation. Key Responsibilities: - Build and update Tableau Cloud dashboards tracking key fraud indicators (fraud rate, risk score, dispute win/loss ratios). - Detect fraud patterns in near real‑time and help implement scoring and business rules to flag high‑risk transactions. - Automate dispute processes: gather evidence, draft claims, and track status across Operations, Support, Compliance, and Product teams. - Develop and test supervised/unsupervised machine‑learning models to prioritize investigations and reduce false positives. - Document analytical procedures, rules, and outcomes; train internal users on tools and metrics. Required Skills: - Advanced proficiency in Tableau Cloud. - Strong SQL skills; Python knowledge is a plus. - Experience with supervised and unsupervised machine‑learning techniques for fraud detection. - Excellent written and verbal communication; ability to explain technical analyses to non‑technical audiences. Required Education & Certifications: - Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. - Tableau Certified Professional (or equivalent) highly preferred.