Staff/Senior Risk & Fraud Data Scientist, Algorithm
Core
Building end-to-end machine learning solutions for international payment risk management, including fraud detection and account takeover prevention.
Role type
Senior Machine Learning Engineer (Risk & Fraud)
Builds
Industry-leading model systems and ML platforms for global payment risk
Domain
Fintech / International Payments / Fraud Prevention
Deliverable
production ML models
Required skills
Python, SQL, scikit-learn, TensorFlow, PyTorch, Keras, data engineering, feature engineering, model training, model deployment
Preferred skills
Payment risk domain expertise, international e-commerce risk experience, LLMs for real-time risk management
Technologies
scikit-learn, TensorFlow, PyTorch, Keras
Responsibilities
Analyze business requirements and translate them into machine learning problems; Work on data engineering, feature engineering, model training, and deployment; Identify issues and propose effective solutions through regular analysis; Develop machine learning platforms and tools to streamline ML workflows; Collaborate with cross-functional teams to apply models that solve business problems
Seniority
Senior, hands-on IC