Fraud Model Developer
Core
Develop, evaluate, and monitor machine learning models to support data-driven fraud and risk decisions across SoFi's products (Personal Loans, Student Loans, Credit Cards, Crypto).
Role type
Senior IC machine learning engineer (fraud modeling)
Builds
Quantitative and machine learning solutions for fraud reduction and risk management
Domain
Financial services / Fintech / Banking
Deliverable
production ML models
Required skills
Python, SQL, statistical modeling, machine learning (linear/logistic regression, decision trees, gradient boosting, random forests, neural networks, clustering), fraud-loss forecasting, model performance monitoring, data visualization (Tableau)
Preferred skills
Graph databases, graph analytics, AWS deployment, MLOps, automated model-monitoring frameworks
Technologies
Python, SQL, Tableau, AWS
Responsibilities
Develop and validate fraud models; aggregate and clean large datasets; analyze fraud patterns and loss drivers; monitor model performance and detect data drift; automate reporting and dashboards; partner with engineering for production deployment; translate technical results into business recommendations.
Seniority
Senior, hands-on IC
