Overview
Data Scientist (Fraud) focused on building ML models, experiments, and detection systems to combat fraud on a fintech platform.
What you'll do
- Prototype, evaluate, and help produce machine learning models for fraud detection.
- Own ongoing monitoring and retraining cycles for fraud models.
- Design and run experiments to measure impact of fraud interventions.
- Size fraud typologies across product lines to support prioritization and investment.
- Build and maintain anomaly detection systems to surface novel fraud vectors.
- Partner with teams to translate model outputs into real-world mitigations.
What you'll need
- 3+ years of experience in data science, decision science, or risk analytics within fraud, payments, or financial crime.
- Strong foundation in statistics and a quantitative degree (Statistics, Mathematics, Engineering, Computer Science, or similar).
- Hands-on experience building and deploying ML models in a production environment.
- Solid grounding in experimentation, statistical inference, model evaluation, and feature engineering.
- Proficiency in Python and SQL, comfortable across the full model development lifecycle.
- Ability to communicate technical findings to non-technical stakeholders and translate insights into action.
Details
- Work mode: Remote.
- Location: South Africa.
Read the full description and apply on the company’s own careers page.
