Please note that this opportunity requires relocation to our Luxembourg office. Satispay began by rethinking the simple act of a payment to remove the friction from our daily routines. But we didn't stop there.

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. As our Fraud Data Analyst, you'll be the person who secures the future of digital payments by architecting sophisticated real‑time defense strategies.

Architect

Real‑Time Strategies – You will be responsible for our real‑time decisioning engine, designing and deploying logic that combines ML scores with velocity features to make millisecond decisions.

Deconstruct Payment

Fraud – Proactively hunt for emerging schemes (ATO, social engineering) 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 & 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, 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.



Expect challenges, collaboration, and the freedom to bring your ideas to life in a fast‑moving and supportive environment.

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.

Domain

Expertise – You have a solid understanding of payment fraud dynamics and experience working with real‑time decisioning environments. 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, both in the office and out in the world. 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 you're 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) We embrace three days per week in‑office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.

Our values and pillars aren't just fancy words on a page – they really shape everything we do.

📌 Fraud Data Analyst - Luxembourg (Lombardia)
🏢 Satispay
📍 Lombardia