Fraud Data Analyst

Satispay; Barcelona; Remote; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Stock options

Meal vouchers

Relocation support

Professional development

Job summary

Satispay is seeking a Fraud Data Analyst to secure the future of digital payments by building real-time defense strategies. You will architect a fast decisioning engine and translate fraud patterns into high‑performing rules, while collaborating with data science to operationalize ML models and maintain a user-friendly security experience.

Ideal candidates have 3–7 years in risk/payments, strong SQL/Python skills, and fluency in English.

Qualifications

• 3–7 years of professional experience in risk, payments, or credit sectors.
• Strong SQL and Python for data analysis and strategy development.
• Solid understanding of payment fraud dynamics and real‑time decisioning environments.

Responsibilities

• Architect Real‑Time Strategies by designing a fast, rule-based and ML‑assisted decisioning engine.
• Develop precision rules to balance false positives and fraud loss.
• Deconstruct payment fraud by identifying new schemes and creating end‑to‑end mitigations.
• Collaborate with product and engineering to define analytical requirements and data signals.
• Calibrate ML models with heuristic rules to optimize performance and user experience.
• Monitor rule efficacy and report performance to leadership.

Skills

SQL

Python

Risk & Fraud Domain

Real-Time Decisioning

Communication

Tools

PySpark

GraphQL

Job description

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

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.