As our Fraud Data Analyst, you'll be the person who secures the future of digital payments by architecting sophisticated real-time defense strategies. Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies. Partner with Product and Engineering to define analytical requirements for new features and third-party data signals.

Work with Data Science to operationalize machine learning models, determining how to best "wrap" model scores with heuristic rules.

Champion

Frictionless UX – Analyze security measures to identify unnecessary hurdles, designing dynamic friction strategies for a seamless user experience.

Strategic Performance

Reporting – Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership to evolve our risk appetite. You have between 3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors.



You are highly skilled in SQL and Python for data analysis and strategy development. You possess excellent communication skills and are fluent in English.

Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge is a significant plus. It's a fun ride, but it can be challenging. To make sure our people truly thrive, we're committed to making their lives easier, both in the office and out in the world.

Stock Option

Plan, Meal vouchers, Relocation support if you're moving countries) ?? Professional development programs, Internal mobility, Language courses with Preply) ? Unlimited PTO, Hybrid working policy*, Adaptable working hours) ??? We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time. LI-HYBRID By submitting this application, I acknowledge that I have read and understood the content of the

📌 Fraud Data Analyst (Laza)
🏢 Satispay
📍 Laza