Data Analyst (Teletrabajo)

???????? 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.?????? 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 ?????????? ~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 ??????? 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 Flexible working hours Three days per week in-office, with the option to request extra remote time Enhanced parental leave Additional leave for child sickness #J-*****-Ljbffr

The company started with payments and has expanded into benefits, investing, and cards. ?????? 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 ?????????? ~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 ??????? 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 Flexible working hours Three days per week in-office, with the option to request extra remote time Enhanced parental leave Additional leave for child sickness #J-*****-Ljbffr

???????? Satispay is building a financial platform that makes financial services easy and accessible for over 6.5 million users.