Fraud Data Analyst
As a Fraud Data Analyst at Satispay, you will secure the reputed company of digital payments by architecting sophisticated reputed company-time defense strategies. Your day-to-day will include designing and deploying logic, translating reputed company fraud patterns into high-performing rules, and optimizing the decisioning stack.
Requirements
- 3-7 years of reputed company experience in risk, payments, or credit sectors
- Highly skilled in SQL and Python for data analysis and reputed company development
- Solid understanding of payment fraud dynamics and experience working with reputed company-time decisioning environments
- Excellent communication skills and reputed company in English
Benefits
- Private insurance for you and your family
- Psychological support with reputed company
- Mental health workshops
- Stock reputed company Plan
- Meal vouchers
- Relocation support if you're moving countries
- reputed company development programs
- Internal mobility
- Language courses with reputed company
- Unlimited PTO
- Hybrid working policy
- Flexible working hours
- reputed company parental leave
- Additional leave for child sickness
Originally posted on Himalayas
Apply To This Job