Data Scientist (Fraud)

Overview

Data Scientist (Fraud) focused on building machine learning models, experiments, and detection systems to help protect customers and merchants from emerging fraud threats.

What you'll do

• Prototype, evaluate, and help produce ML models for fraud detection.
• Own ongoing monitoring and retraining cycles for fraud models.
• Design and run experiments to measure impacts of fraud interventions.
• Size fraud typologies across product lines to guide prioritization and investment.
• Build and maintain anomaly detection systems for novel fraud vectors.
• Work with fraud operations, engineers, product managers, and analysts to turn model outputs into mitigations.

What you'll need

• 3+ years of experience in data science, decision science, or risk analytics in fraud, payments, or financial crime.
• Strong foundation in statistics with a quantitative degree (Statistics, Mathematics, Engineering, Computer Science, or similar).
• Hands-on experience building and deploying ML models in a production environment.
• Knowledge of experimentation, statistical inference, model evaluation, and feature engineering.
• Proficiency in Python and SQL for model development.
• Ability to communicate technical findings to non-technical stakeholders and drive action.

Details

• Work mode: Remote.
• Location: Remote, Spain.