Lead Risk Analyst, Payment Fraud
Core
Lead the full lifecycle of financial risk strategy development and implementation, detecting and investigating fraudulent activities, and analyzing datasets to deliver reports on fraud incidents.
Role type
Lead Risk Analyst (Payment Fraud)
Builds
Fraud prevention solutions and automated, model-driven fraud prevention processes
Domain
Payments / Financial Risk / Machine Learning
Deliverable
production ML models
Required skills
Fraud detection and investigation, Data modeling, Feature engineering, Model training and evaluation, Model deployment, SQL, Python, Risk strategy design, Transaction anomaly detection, Multi-currency transaction handling
Preferred skills
Experience with e-commerce payment methods, Machine learning frameworks (Sklearn, XGBoost, LightGBM), Product management, Data science
Technologies
Python, R, Sklearn, XGBoost, LightGBM, SQL
Responsibilities
Design, test, launch, and monitor post-production performance of risk strategies; Detect, investigate, and track fraudulent or suspicious activities; Analyze internal and external datasets to deliver detailed reports and root-cause analyses; Collaborate with engineers and product managers to implement fraud prevention solutions; Serve as the primary point of contact with payment processors and vendors.
Seniority
Lead, hands-on IC