Data Scientist (Fraud)

Moniepoint is seeking a hands-on Data Scientist to build and own fraud-detection models that protect millions of African customers and merchants in real time.

What it offers

• A high-impact role at the intersection of machine learning, product, and engineering
• Opportunity to prototype, ship, and productionise ML models that directly shape fraud detection

Who can apply

• 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

What you'll do

• Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles
• Design and run experiments to measure the impact of fraud interventions
• Size fraud typologies across product lines to inform prioritisation and investment decisions
• Build and maintain anomaly detection systems to surface novel fraud vectors
• Work closely with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations

How to apply

Apply directly via the Moniepoint careers portal (link provided in the source).