Fraud Data Analyst

Satispay Italy
Relocation
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AI Summary

As a Fraud Data Analyst at Satispay, you will secure the future of digital payments by architecting sophisticated real-time defense strategies. Your day-to-day will involve designing and deploying logic that combines ML scores with velocity features to make millisecond decisions. You will work with Data Science to operationalize machine learning models and determine how to best 'wrap' model scores with heuristic rules.

Key Highlights
Architect Real-Time Strategies
Precision Rule Development
Deconstruct Payment Fraud
Key Responsibilities
Architect Real-Time Strategies
Precision Rule Development
Deconstruct Payment Fraud
Optimize the Decisioning Stack
Calibrate ML & Heuristics
Champion Frictionless UX
Strategic Performance Reporting
Technical Skills Required
SQL Python Machine Learning Data Science PySpark GraphQL
Benefits & Perks
Health insurance
Private insurance for you and your family
Psychological support with Serenis
Mental health workshops
Stock Option Plan
Meal vouchers
Relocation support
Unlimited PTO
Hybrid working policy
Flexible working hours
Enhanced parental leave
Additional leave for child sickness
Nice to Have
Experience with Machine Learning
Data Science
PySpark
GraphQL knowledge

Job Description


Please note that this opportunity requires relocation to our Barcelona office.

About Us

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.

What You'll Be Doing

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

Here's What Your Day-to-day Will Look Like

  • 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.
  • Precision Rule Development – Translate complex fraud patterns into high-performing rules, optimizing the balance between False Positive Rates (FPR) and Gross Fraud Loss.
  • 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. 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're curious and ready for real ownership, you'll fit in! Does this sound like you?

  • 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.

CareAbout: how we support your impact

About

We move fast, and evolution never stops. 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. That's why we created CareAbout:

  • ❤️ 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.

Equal Opportunity Employer

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

Learn more about us

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

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