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. 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.
You are a data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime. Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles.
Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.




A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics, Engineering, Computer Science, or similar).
~3+ 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.
~ 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, annual bonus, plus other benefits.

📌 Data Scientist (España)
🏢 Democrance
📍 España