Overview In this role you will help secure digital payments by designing real-time defense strategies. You will work closely with Product and Engineering to shape the decisioning stack and translate fraud patterns into high-impact rules. You'll balance security with a smooth user experience, reducing friction while protecting users. This position offers fast-paced collaboration and the chance to influence risk strategy at scale in a growing fintech platform.

Compensaciones / Beneficios Private health insurance for you and your family

Stock option plan

Relocation support

Professional development programs

Unlimited PTO

Hybrid working policy with versátil hours

Responsabilidades Architect real-time decisioning strategies for fast-millisecond decisions

Develop precise, high-performing fraud rules to balance false positives and fraud loss

Investigate and mitigate emerging payment fraud schemes (e.g., ATO, social engineering)





Collaborate with Product and Engineering to define analytical requirements for new features and data signals

Operationalize ML models with heuristic rules in the decisioning stack

Assess security measures to minimize unnecessary user friction while maintaining protection

Provide strategic performance reporting to leadership on rule efficacy and risk posture

Requisitos principales 3–7 years of professional experience in risk, payments, or credit

Strong SQL and Python for data analysis and strategy development

Solid understanding of payment fraud dynamics and real-time decisioning environments

Excellent English communication skills

Nice to Have: Machine Learning, Data Science, PySpark, GraphQL teamwork problem-solving curiosity

SQL

Python real-time decisioning

📌 Fraud Data Analyst (Barcelona)
🏢 Satispay
📍 Barcelona