Data/Fraud Analyst

Satispay; Barcelona; Híbrido; EUR 50.000 - 75.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Stock Option Plan

Meal vouchers

Relocation support

Professional development

Descripción de la vacante

Satispay busca un Data/Fraud Analyst para un rol híbrido en Barcelona. Serás responsable de diseñar estrategias en tiempo real, desarrollar reglas de fraude y colaborar con Data Science para operacionalizar modelos ML.

Buscamos perfil analítico con 3–7 años en riesgo o pagos, dominio de SQL y Python, y experiencia en entornos de decisión en tiempo real. Inglés fluido y ganas de crecer en una fintech internacional.

Formación

• Experiencia 3–7 años en riesgo, pagos o crédito.
• Dominio de SQL y Python para análisis de datos y desarrollo de estrategias.
• Conocimiento de fraude en pagos y entornos de decisión en tiempo real.
• Comunicación fluida en inglés.
• Deseable ML, PySpark o GraphQL.

Responsabilidades

• Diseñar e implementar estrategias en tiempo real para la toma de decisiones de fraude.
• Traducir patrones de fraude en reglas de alto rendimiento y equilibrar FPR con pérdidas.
• Investigar fraude y proponer estrategias de mitigación de extremo a extremo.
• Colaborar con Producto e Ingeniería para definir requisitos analíticos de nuevas funciones.
• Operacionalizar modelos ML supervisando su envoltorio con reglas heurísticas.

Conocimientos

SQL

Python

English fluency

Fraud risk knowledge

Herramientas

PySpark

GraphQL

Descripción del empleo

Data/Fraud Analyst Satispay•Barcelona, barcelonés (comarca); provincia de barcelona; cataluña, Spain

Descripción del trabajo

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

• 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!

• 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: Health

• Private insurance for you and your family, psychological support with Serenis, mental health workshops

CareAbout: Financial resources

• Stock Option Plan, Meal vouchers, Relocation support if you're moving countries

CareAbout: Growth and development

• Professional development programs, Internal mobility, Language courses with Preply

CareAbout: Flexibility

• Unlimited PTO, Hybrid working policy, Flexible working hours

CareAbout: 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.

LocationBarcelona, SpainEmployment TypeFull timeLocation TypeHybridDepartmentFincrime Operations