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Fraud Data Analyst - Barcelona

Pubblicato il 18-08-2026 - 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 For





We need a problem-solver who loves teamwork and gets things done. If you are curious and ready for real ownership, you’ll fit in.

- Experience – between 3 and 7 years of professional experience 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 working with real-time decisioning environments.
- Communication – excellent communication skills and fluency in English.
- Nice to Have – experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge is a plus.

CareAbout: how we support your impact

About: We move fast, and evolution never stops. To help our people thrive, we provide support in and out of the office. CareAbout includes:

- Health: private insurance for you and your family, psychological support with Serenis, mental health workshops
- Financial resources: stock option plan, meal vouchers, relocation support if moving countries
- Growth and development: professional development programs, internal mobility, language courses with Preply
- Flexibility: unlimited PTO, hybrid working policy, flexible working hours
- Family: enhanced parental leave, additional leave for child sickness
- In-office presence: three days per week in-office (Tuesday and Thursday + one additional day of your choice), with the option to request extra remote time

Equal Opportunity Employer

At Satispay, we are proud to be an equal opportunity employer. We celebrate diversity and inclusion, welcoming individuals of all backgrounds. This opportunity is open to everyone, regardless of race, color, religion, sex, gender identity, sexual orientation, or national origin. Join us in a workplace where everyone belongs!

Learn more about us

Our values and pillars aren’t just words on a page — they shape everything we do. Learn more here.

By submitting this application, I acknowledge that I have read and understood the content of the Privacy Policy.

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