Fraud Data Analyst
Pubblicato il 17-08-2026 - Satispay in Turbigo
Overview
Please note that this opportunity requires relocation to our Barcelona office.
Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. Today, we are building a complete financial platform designed to empower people and concretely improve their lives. By giving our 6 million users a clear, open path to pay, save, and invest, we are evolving into the definitive destination for every financial need.
What You'll Be Doing
As our Fraud Data Analyst, you will help secure the future of digital payments by architecting sophisticated real-time defense strategies.
- Architect Real-Time Strategies – design and deploy logic for our real-time decisioning engine that combines ML scores with velocity features to make millisecond decisions.
- Precision Rule Development – translate complex fraud patterns into high-performing rules, optimizing the balance between false positive rates and gross fraud loss.
- Deconstruct Payment Fraud – proactively hunt for emerging schemes (ATO, social engineering)
and convert 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 & Heuristics – 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 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 our risk appetite.
Expect challenges, collaboration, and the freedom to bring your ideas to life in a fast-moving and supportive environment. Things change quickly here, so be ready to adapt, take initiative, and shape your role as we grow.
Who We're Looking F