Описание Satispay is building a financial platform that makes financial services easy and accessible for over 6.5 million users. The company started with payments and has expanded into benefits, investing, and cards.

Задачи Architect and deploy real-time decisioning logic combining ML scores with velocity features

Translate complex fraud patterns into high-performing rules while balancing False Positive Rates and Gross Fraud Loss

Hunt for emerging fraud schemes, including ATO and social engineering, and develop end-to-end mitigation strategies

Partner with Product and Engineering to define analytical requirements for new features and third-party data signals

Work with Data Science to operationalise machine learning models and combine model scores with heuristic rules

Analyse security measures and design dynamic friction strategies for a seamless user experience

Monitor rule efficacy and portfolio health

Present data-driven recommendations to senior leadership to evolve risk appetite





Требования 3-7 Years of professional experience in risk, payments, or credit

Strong SQL and Python skills for data analysis and strategy development

Solid understanding of payment fraud dynamics

Experience working with real-time decisioning environments

Excellent communication skills

Fluent English

Nice to have: Experience with Machine Learning, Data Science, PySpark, or GraphQL knowledge

Условия Private insurance for the employee and family

Psychological support with Serenis and mental health workshops

Stock Option Plan

Meal vouchers

Relocation support if moving countries

Professional development programs

Internal mobility

Language courses with Preply

Unlimited PTO

Adaptable working hours

Three days per week in-office, with the option to request extra remote time

Enhanced parental leave

Additional leave for child sickness

📌 data analyst in payment fraud (Barcelona)
🏢 Enfint
📍 Barcelona