Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. About the role We're looking for a Data Scientist to sit at the heart of how we fight fraud, building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. We are looking for a data-driven, intellectually curious Data Scientist who is energised by hard problems in fraud and financial crime. Prototype, evaluate, and help productionize machine learning models for fraud detection; own their ongoing monitoring and retraining cycles.
Cross-Functional Collaboration: Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.




A strong foundation instatistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar)
~5+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime
~ Hands-on experience building and deploying machine learning models in a production environment, fraud, risk, or financial services experience is a strong plus
~ Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation, and feature engineering
~ Proficiency in Python and SQL; An investigative instinct, you enjoy digging into data to find patterns others miss
~ Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits
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📌 Senior Data Scientist (España)
🏢 Moniepoint
📍 España