22 set - Varese
Satispay
Overview
As Fraud Data Analyst, you will help secure real-time digital payments by designing and deploying decisioning logic that blends ML scores with velocity features. You'll translate fraud patterns into high-impact rules and partner across teams to optimize the risk stack. You'll hunt emerging fraud schemes and shape end-to-end mitigation while preserving a frictionless user experience.
This role combines data science input, product collaboration, and leadership-facing reporting to evolve risk appetite.
Retribuzione / Benefits
- Private health insurance for you and family
- Stock Option Plan
- Relocation support
- Hybrid working policy
- Unlimited PTO
- Flexible working hours
Responsabilità
- Design and implement real-time decisioning logic using ML scores and velocity features
- Develop and optimize high-performing fraud rules to balance false positives and fraud loss
- Investigate and mitigate emerging fraud schemes (ATO, social engineering)
- Collaborate with Product and Engineering to define analytical requirements and data signals for new features
- Operationalize ML models with heuristic rules in the decisioning stack
- Analyze security measures to minimize user friction while maintaining protection
- Provide data-driven insights on rule efficacy and portfolio health to senior leadership
Requisiti fondamentali
- 3–7 years of experience in risk, payments, or credit sectors
- Strong SQL and Python skills for data analysis and strategy development
- Solid understanding of payment fraud dynamics and real-time decisioning environments
- Excellent communication skills and English fluency
- Nice to have: experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge
- teamwork
- curiosity
- ownership
- SQL
- Python
- PySpark
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