Data Scientist - Risk, Fraud & AI

Data Infrastructure, Fraud, Fraud Detection, Underwriting, Artificial Intelligence, Analytics, Automation, Anomaly Detection, Financial technology, Regulatory Requirements, Product Engineering, Team Leadership, Python, xgboost, Fraud Prevention, TensorFlow, Financial Services, Risk Analysis, Customer Satisfaction, Governance, Mentorship, PyTorch, SQL, Machine Learning, Pandas, Scikit-learn, Unsupervised Learning Techniques