Senior Fraud Modeling Engineer

Socket.dev; Frisco (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

SoFi is seeking a Fraud Model Developer to join our Model Development team. You will build, evaluate, and monitor machine learning models to support fraud decisions across SoFi products, including loans, cards, and crypto.

You will reduce fraud losses, minimize false positives, and collaborate with Fraud Risk, Engineering, and Finance to drive results. The role requires strong ML, statistical modeling, data analysis, and model monitoring skills, with experience presenting findings to diverse

Qualifications

• Five or more years of fraud modeling, loss forecasting, or related quantitative work.
• Master's or doctoral degree in Statistics, Mathematics, Economics, Engineering, CS, or other quantitative field.
• Advanced proficiency in Python and SQL for data analysis and modeling.
• Experience creating analytical reports or dashboards with Tableau or similar tools.
• Experience building and evaluating ML models (linear/logistic regression, trees, boosting, neural nets).

Responsibilities

• Develop quantitative, statistical, and ML models to reduce fraud losses and false positives.
• Aggregate and clean large datasets from multiple environments for model development.
• Analyze datasets to identify fraud patterns, product trends, and loss drivers.
• Design, test, validate, and recalibrate fraud models with appropriate methods.
• Monitor model performance and detect degradation or data drift.
• Forecast fraud losses and run scenario analyses to assess business impact.
• Automate model-monitoring, reporting, and dashboards.
• Investigate external risk data and industry trends for opportunities.
• Collaborate with Engineering and ML platform teams for deployment.
• Communicate model results and impact to business units.

Skills

Fraud modeling

Loss forecasting

Machine learning

Python

SQL

Tableau

Statistical modeling

Data analysis

Model monitoring

Education

Advanced degree

Tools

AWS

Job description

SoFi is seeking a Fraud Model Developer to join our Model Development team. You will build, evaluate, and monitor machine learning models to support fraud decisions across SoFi products, including loans, cards, and crypto.

You will reduce fraud losses, minimize false positives, and collaborate with Fraud Risk, Engineering, and Finance to drive results. The role requires strong ML, statistical modeling, data analysis, and model monitoring skills, with experience presenting findings to diverse