Fraud Data Scientist — Production ML & Anomaly Detection

Moniepoint Group; South Africa; On-site; ZAR 600,000 - 1,200,000; Full time

Benefits offered by this job

Culture

Learning

Compensation

Job summary

Moniepoint is seeking 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

Qualifications

• Bachelor’s or higher in Statistics, Mathematics, Engineering, Computer Science, or a similar quantitative field.
• 3+ years in data science, decision science, or risk analytics within fraud, payments, or financial crime.
• Hands-on experience deploying ML models in production.

Responsibilities

• Prototype, evaluate, and help produce ML models for fraud detection; own monitoring and retraining cycles.
• Design and run experiments to measure fraud interventions and balance 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 before they scale.
• Collaborate with fraud operations, engineers, product managers, and data analysts to translate model outputs into real-world mitigations.

Skills

Python

SQL

Statistics

Fraud detection

Education

Quantitative degree

Job description

Moniepoint is seeking 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