22 set - Monza
Satispay
Overview
Relocation to Luxembourg is required.
As Fraud Data
Analyst, you will design real-time defense strategies to secure digital payments. You'll work with cross-functional teams to optimize a real-time decisioning stack, integrating ML scores with velocity features for millisecond decisions. You will translate fraud patterns into high-performing rules and mitigate emerging schemes while keeping the user experience frictionless. This role offers ownership, rapid iteration, and a clear impact on risk posture and business growth.
Retribuzione / Benefits
- Health insurance for you and family
- Stock Option Plan
- Relocation support
- Unlimited PTO
- Hybrid working policy
- Language courses
Responsabilità
- Design and deploy real-time decisioning logic for millisecond fraud decisions
- Develop precision rules to balance false positives and fraud loss
- Investigate and mitigate payment fraud schemes (ATO, social engineering)
- Collaborate with Product and Engineering to define analytical requirements and data signals
- Operationalize ML model scores with heuristic rules in production
- Assess and reduce friction in security measures to preserve user experience
- Provide data-driven performance reporting to senior leadership to evolve risk appetite
Requisiti fondamentali
- 3-7 years of professional experience in risk, payments, or credit
- teamwork
- curiosity
- ownership
- SQL
- Python
- real-time decisioning
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