Senior Fraud Data Analyst - Barcelona

About the role

As a Senior Fraud Data Analyst you will protect millions of digital payment transactions in real time, developing and operating the decisioning engine that combines machine‑learning scores with rule‑based logic.

Key responsibilities

• Architect real‑time decisioning strategies, designing and deploying logic that merges ML scores with velocity features for millisecond decisions.
• Develop high‑performance fraud rules, balancing false‑positive rates against gross fraud loss.
• Investigate emerging fraud schemes and create end‑to‑end mitigation strategies.
• Collaborate with product and engineering to define analytical requirements for new features and third‑party data signals.
• Calibrate machine‑learning models and heuristic rules with data science teams.
• Analyze security measures to design dynamic friction strategies that maintain a seamless user experience.
• Monitor rule efficacy and portfolio health, reporting insights to senior leadership.

Required profile

• At least 6 years of experience in risk, payments, or credit sectors.
• Strong proficiency in SQL and Python for data analysis and strategy development.
• Deep understanding of payment fraud dynamics and real‑time decisioning environments.
• Excellent communication skills in English.

Required skills

• SQL
• Python
• Machine Learning
• PySpark (nice to have)
• GraphQL (nice to have)

What we offer

• Private health insurance, psychological support, and mental‑health workshops.
• Stock option plan, meal vouchers, and relocation support.
• Professional development programs, internal mobility, and language courses.
• Unlimited PTO, hybrid working policy, flexible hours, and enhanced parental leave.