Data Scientist (Fraud)

Overview

Data Scientist (Fraud) to build ML models, experiments, and detection systems that help Moniepoint fight fraud.

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 guide investment and prioritization.
• Build and maintain anomaly detection systems to surface novel fraud vectors.
• Work with fraud operations, engineers, product managers, and analysts to implement mitigations.

What you'll need

• 3+ years of experience in data science, decision science, or risk analytics in fraud/payments/financial crime.
• Strong foundation in statistics with a degree in a quantitative field.
• Hands-on experience building and deploying ML models in production.
• Solid grounding in experimentation, statistical inference, model evaluation, and feature engineering.
• Proficiency in Python and SQL.
• Ability to communicate technical findings to non-technical stakeholders and translate insights into action.

Details

• Role location: Remote, London, United Kingdom.