Applied Scientist, BRP Payment Risk ML, BRP Payment Risk ML
Core
Build advanced algorithmic systems using machine learning and statistical techniques to manage safety and prevent eCommerce fraud for millions of daily transactions.
Role type
Applied Scientist (Payment Risk ML)
Builds
Scalable risk management systems and real-time model implementations
Domain
eCommerce, Fraud Prevention, Machine Learning
Deliverable
production ML models
Required skills
Machine learning, statistical techniques, algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing, Java, C++, Python, SQL, Spark
Preferred skills
PhD in CS/ML/GenAI/OR, predictive modeling, creative problem solving
Technologies
Java, C++, Python, SQL, Spark
Responsibilities
Design and evaluate innovative models for risk management, collaborate with engineering teams for real-time implementation, establish automated processes for model development and validation, track business activity and provide management reporting, research and implement novel ML approaches
Seniority
Mid-Senior, hands-on IC