Data Scientist (Fraud)

📋 Description

• Prototype, evaluate, and help produce machine learning models for fraud detection; own their
• Design and run experiments to measure the impact of fraud interventions, balancing customer
• Size fraud typologies across our product lines to inform prioritization and investment decisions.
• Build and maintain anomaly detection systems to surface novel fraud vectors before they scale.
• Work closely with fraud operations, engineers, product managers, and data analysts to translate

🎯 Requirements

• A strong foundation in statistics with a degree in a quantitative field (Statistics, Mathematics
• 3+ years of experience in data science, decision science, or risk analytics within fraud, payments
• Hands-on experience building and deploying machine learning models in a production environment.
• Fraud risk, or financial services experience is a strong plus.
• Solid grounding in data science essentials: experimentation, statistical inference, model
• Comfort working in fast-paced, cross-functional teams with high ownership expectations.

🎁 Benefits

• Attractive salary, pension, health insurance, annual bonus, plus other benefits.
• Learning and development-focused environment with emphasis on knowledge sharing, training, and
• A people-first culture that prioritizes the well-being of every team member.