Data analyst in payment fraud

Описание

Satispay is building a financial platform that makes financial services easy and accessible for over 6.5 million users. The company started with payments and has expanded into benefits, investing, and cards.

• Architect and deploy real-time decisioning logic combining ML scores with velocity features
• Translate complex fraud patterns into high-performing rules while balancing False Positive Rates and Gross Fraud Loss
• Hunt for emerging fraud schemes, including ATO and social engineering, and develop end-to-end mitigation strategies
• Partner with Product and Engineering to define analytical requirements for new features and third-party data signals
• Work with Data Science to ope rationalise machine learning models and combine model scores with heuristic rules
• Analyse security measures and design dynamic friction strategies for a seamless user experience
• Monitor rule efficacy and portfolio health
• Present data-driven recommendations to senior leadership to evolve risk appetite

• 3-7 Years of professional experience in risk, payments, or credit
• Strong SQL and Python skills for data analysis and strategy development
• Solid understanding of payment fraud dynamics
• Experience working with real-time decisioning environments
• Excellent communication skills
• Fluent English
• Nice to have:
  Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge

• Private insurance for the employee and family
• Psychological support with Serenis and mental health workshops
• Stock Option Plan
• Meal vouchers
• Relocation support if moving countries
• Professional development programs
• Internal mobility
• Language courses with Preply
• Unlimited PTO
• Flexible working hours
• Three days per week in-office, with the option to request extra remote time
• Enhanced parental leave
• Additional leave for child sickness