Senior Fraud Data Analyst - Barcelona
Milan, Italy · Milan, Lombardia, Italy
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Fincrime Operations › Fraud Strategy — team source
Department: Fincrime Operations › Fraud Strategy
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Will you now or in the future require sponsorship for employment visa status?
From the employer’s application form
What you’ll work on
Full postingDesign and deploy real-time decisioning logic combining ML scores and velocity features
Turn complex fraud patterns into rules balancing false positives and fraud loss
Hunt for emerging payment fraud schemes and build end-to-end mitigation strategies
Operationalise ML models and wrap model scores with heuristic rules
Monitor rule efficacy and portfolio health, presenting recommendations to leadership
From the employer’s posting
designing and deploying logic that combines ML scores with velocity features to make millisecond decisions
Translate complex fraud patterns into high-performing rules, optimising the balance between False Positive Rates (FPR) and Gross Fraud Loss
Proactively hunt for emerging schemes (ATO, social engineering) and turn these insights into end-to-end mitigation strategies
Work with Data Science to operationalise machine learning models, determining how to best "wrap" model scores with heuristic rules
Monitor rule efficacy and portfolio health, presenting data-driven recommendations to senior leadership
Tools in this posting
- Python
- SQL
- PySpark
Source — Tool mentions in context
- Experience – You have at least 6 years’ 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. Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths. Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply.
About Satispay
Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 5 monthsWe first saw this posting 150 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026 · 150 days ago
- Recorded sightings
- 178
- Last seen by us
- Oct 30, 2026
- Employer says posted
- May 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
Please note that this opportunity requires relocation to our Barcelona office.
About us
Traditional banking has never really given you control over your financial life. Satispay exists to change that: to empower people through finance.
That means making financial services easy and accessible for over 6.5M users. We started with payments, then benefits, investing, cards... and we’re not done. Not even close. We follow the same logic every time: find a real problem, solve it properly, then look for the next one. The destination? To build the most loved financial platform in the world. If you own outcomes rather than tasks, stay close to what users need, and refuse to wait for someone else to fix what's broken — you'll find people here who work exactly in the same way. And together, you'll build something worth being proud of.
What you'll be doing
As our Senior Fraud Data Analyst, you'll handle one of the most critical challenges in digital payments: keeping millions of transactions safe in real time.
Here's what that looks like in practice:
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, optimising 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.
Optimise 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 operationalise machine learning models, determining how to best "wrap" model scores with heuristic rules.
Champion Frictionless UX – Analyse 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.
Who we're looking for
This role needs someone genuinely curious about how fraud works, and driven enough to stay one step ahead of it.
Experience – You have at least 6 years’ 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.
Don't worry if you don't tick every box. We believe in the power of different viewpoints and strengths. Your unique perspective is important as we build something special: if you're passionate and can make a difference, we truly encourage you to apply.
CareAbout: how we support your impact
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
Curious what it's actually like here? Our values and pillars shape how we work every day: explore them here.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Milan, Lombardia, Italy
- ⚙️ 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
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