Data Scientist - Fraud Analytics
Core
Develop, validate, and deploy fraud detection models and analytics strategies across digital banking and payment systems to reduce losses and minimize false positives.
Role type
Senior IC data scientist (fraud analytics)
Builds
Production fraud detection models and analytics strategies for digital and payment channels
Domain
Financial services / Banking / Fintech
Deliverable
production ML models
Required skills
Fraud analytics, Machine learning (logistic regression, decision trees, random forests, gradient boosting, neural networks), Python or R, SQL, Feature engineering, Model performance monitoring, Fraud typologies knowledge (account takeover, card-not-present fraud, mule accounts, social engineering)
Preferred skills
Middle Eastern financial institutions experience, Fraud platforms (FICO, Actimize, Feedzai, Featurespace), Model risk management
Technologies
Python, R, SQL, FICO, Actimize, Feedzai, Featurespace
Responsibilities
Develop and deploy fraud detection models, Perform advanced data analysis to identify fraud patterns, Optimize fraud detection strategies, Conduct feature engineering and model evaluation, Collaborate with risk and technology teams, Support model governance and compliance, Analyze large datasets for trends, Assist with model implementation and testing
Seniority
Senior, hands-on IC
