Satispay
Senior Fraud Data Analyst - Barcelona
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Milan, Italy
Employer listed it 5 months ago · Found 5h ago
Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Milan, Italy
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Data
This employer didn't state pay. Jobs like this usually pay around $135k–$210k a year, a typical range taken from 260 senior-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Milan, Italy, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Milan, Italy, Hybrid"
- Listing mentions "Hybrid" and three days per week in the office
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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:
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Satispay, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 6h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $135k to $210k per year · You'll be taken to the employer's careers page.