Fraud data analyst
Pubblicato il 14-10-2026 - Satispay in Italia
Relocation We are looking for a Fraud Data Analyst to work out‐of‐office in Luxembourg. This opportunity requires relocation to our Luxembourg office.
About Us
Satispay is a complete financial platform that removes friction from everyday payments. With more than 6 million users, we help people pay, save and invest in a single, seamless experience.
What You'll Be Doing
As our Fraud Data Analyst, you will secure the future of digital payments by architecting sophisticated real‐time defence strategies.
Responsibilities
Architect real‐time decisioning strategies – responsible for the real‐time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions. Precision rule development – translate complex fraud patterns into high‐performing rules, optimising the balance between False Positive Rates and Gross Fraud Loss. Deconstruct payment fraud – proactively hunt for emerging schemes and turn these insights into end‐to‐end mitigation strategies.
Optimize the decisioning stack – partner with Product and Engineering to define analytical requirements for new features and third‐party data signals. Calibrate ML‐and‐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 and design 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 risk appetite.
Qualifications
Experience – 3 to 7 years in risk, payments or credit sectors. Technical proficiency – highly skilled in SQL and Python for data analysis and strategy development. Domain expertise – solid understanding of payment fraud dynamics and experience in real‐time decisioning environments. Communication – excellent communication skills, fluent