As a Fraud & Chargebacks Data Analyst at PayPlug, you will dive into transaction data to identify patterns of fraud and manage chargeback processes, safeguarding our payment platform. Your analytical expertise will help enhance security measures and reduce financial risks for merchants across Europe.

PayPlug is a leading European payment solution provider, empowering merchants with secure and seamless online transactions. We are seeking a talented Fraud & Chargebacks Data Analyst to join our risk management team.

In this role, you will analyze large datasets from payment transactions to detect anomalies and fraudulent activities. You will develop models to predict and prevent fraud, investigate chargeback disputes, and collaborate with cross-functional teams to improve our detection algorithms. Your work will directly contribute to minimizing financial losses and building trust with our clients.

Key responsibilities include:

• Extracting and cleaning data from various sources using SQL and scripting languages
• Building dashboards and reports to visualize fraud trends and chargeback metrics
• Conducting root cause analysis on fraud incidents and recommending preventive measures
• Staying updated on emerging fraud tactics and regulatory changes in the payments industry
• Supporting the optimization of fraud rules and machine learning models

If you have a passion for data-driven decision making and a keen eye for detail in the fast-paced world of fintech, we encourage you to apply and help shape the future of secure payments at PayPlug.

• Bachelor's degree in Data Science, Statistics, Computer Science, or a related field
• 2+ years of experience in data analysis, preferably in fraud detection or financial services
• Proficiency in SQL, Python, or R for data querying and analysis
• Strong understanding of payment systems, fraud patterns, and chargeback mechanisms
• Experience with data visualization tools like Tableau or Power BI
• Excellent problem-solving skills and attention to detail
• Ability to handle sensitive financial data with discretion
• French and English proficiency required

• Competitive monthly salary with performance bonuses
• Remote work flexibility with occasional team meetups in Paris
• Comprehensive health insurance and wellness programs
• Professional development opportunities, including certifications in data analytics
• Modern tools and software provided for efficient work
• Collaborative and innovative work environment in a growing fintech company
• Generous paid time off and flexible working hours