As our Fraud Data Analyst, you'll be the person who secures the future of digital payments by architecting sophisticated real-time defense strategies. 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. 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. 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. 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. 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*, Adaptable
working hours
) We embrace three days per week in-office (Tuesday and Thursday + 1 of your choice), with the option to request extra remote time.