Data Scientist (Fraud) - Remote

About the role

Moniepoint, Africa's fastest-growing fintech, is looking for a Data Scientist to build the models, experiments and detection systems that protect its customers and merchants from fraud. The role sits at the intersection of machine learning, product and engineering, and is fully remote.

Key responsibilities

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

Required profile

• Degree in a quantitative field such as Statistics, Mathematics, Engineering or Computer Science.
• 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 production.
• Fraud, risk or financial services experience is a strong plus.
• Comfortable in fast-paced, cross-functional teams with high ownership expectations.

Required skills

• Solid grounding in data science fundamentals: experimentation, statistical inference, model evaluation and feature engineering.
• Proficiency in Python and SQL across the full model development lifecycle.
• Ability to explain technical findings clearly to non-technical stakeholders.

What we offer

• An attractive salary, pension, health insurance and annual bonus.
• A learning-focused culture with knowledge sharing, training and regular internal technical talks.