About usTraditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance. That means making financial services easy and accessible for over 6.5M users. We follow the same logic every time: find a real problem, solve it properly, then look for the next one. What you'll be doingAs our Fraud Data Analyst, you'll handle one of the most critical challenges in digital payments: keeping millions of transactions safe in real time.
Deconstruct Payment Fraud – Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies.
Optimise the Decisioning Stack – Partner with Product and Engineering to define analytical requirements for new features and third-party data signals.
Calibrate ML & Heuristics – Work with Data Science to operationalise machine learning models, determining how to best "wrap" model scores with heuristic rules.
Champion Frictionless UX – Analyse 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.
Who we're looking forThis role needs someone genuinely curious about how fraud works, and driven enough to stay one step ahead of it. Experience – You have between 3 and 7 years of professional experience, specifically within the risk, payments, or credit sectors.
Technical Proficiency – You are highly skilled in SQL and Python for data analysis and strategy development.
Communication – You possess excellent communication skills and are fluent in English.
Nice to Have – 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

📌 Data/Fraud Analyst (Barcelona)
🏢 Satispay
📍 Barcelona