Fraud Detection Data Scientist: ML for FinTech

Moniepoint; South Africa; Remote; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Annual bonus

Health insurance

Pension

Job summary

Moniepoint is seeking a Data Scientist to tackle fraud detection at scale across its platform in Africa. You will prototype, evaluate, and deploy ML models, run experiments, and shape detection systems that protect millions of customers and merchants while balancing user experience and risk.

The role sits at the intersection of data science, product and engineering, with high ownership and impact. You will collaborate with engineers, product managers, and analysts to iterate on signals, deploy

Qualifications

• Bachelor's or equivalent in a quantitative field (Statistics, Mathematics, Engineering, CS)
• 3+ years in data science, decision science, or risk analytics within fraud/financial crime
• Hands-on experience building and deploying ML models in production
• Solid grounding in data science fundamentals: experimentation, inference, evaluation, feature engineering

Responsibilities

• Prototype, evaluate, and productionize ML models for fraud detection; monitor and retrain cycles
• Design experiments to measure impact of fraud interventions balancing user experience and loss
• Characterize fraud typologies across product lines to inform prioritization
• Build and maintain anomaly detection systems to surface new fraud vectors
• Collaborate with fraud ops, engineers, product, and data analysts to translate model outputs into mitigations

Skills

Python

SQL

Education

Quantitative degree

Job description

Moniepoint is seeking a Data Scientist to tackle fraud detection at scale across its platform in Africa. You will prototype, evaluate, and deploy ML models, run experiments, and shape detection systems that protect millions of customers and merchants while balancing user experience and risk.

The role sits at the intersection of data science, product and engineering, with high ownership and impact. You will collaborate with engineers, product managers, and analysts to iterate on signals, deploy