Lead Graph Data Scientist - Identity Analytics
Core
Develop and deploy graph analytics and machine learning solutions to detect and prevent identity theft, account takeover, and fraud for USAA members.
Role type
Lead Graph Data Scientist (Identity Analytics)
Builds
Production graph databases, fraud detection models, and member protection strategies
Domain
Financial services / Fraud detection / Graph analytics
Deliverable
production ML models
Required skills
Graph databases and graph techniques, Graph neural networks, Supervised modeling (linear/logistic, SVM, decision trees, Random Forests, XGBoost, LightGBM, CatBoost), Unsupervised modeling (k-means, DBSCAN), Python, SQL, NoSQL, Statistical analysis, Model risk management, Project management
Preferred skills
US military experience or military spouse status, Graduate degree in quantitative field, Advanced fraud detection algorithms experience, Financial crimes model development
Technologies
Graph databases, Python, SQL, NoSQL, XGBoost, LightGBM, CatBoost, Random Forests
Responsibilities
Develop and update identity theft and authentication models, Deploy graph databases to identify criminal networks, Mentor junior staff in modeling and analytics, Partner with strategy and technology teams on model deployment, Integrate new data sources to augment predictive power, Communicate technical insights to executive management
Seniority
Senior, hands-on IC with mentorship responsibilities
