Owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products
Job Summary
Owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products.
Drives measurable reductions in fraud loss, false positives, and operational expenses by analyzing complex datasets and conducting trade-off analysis.
Partners closely with Fraud Prevention, Risk, Operations, Finance, Compliance, and ML Platform teams to influence fraud strategy and ensure sustained business impact.
Matching Summary
Owns end-to-end design, development, validation, deployment partnership, and performance management of high-impact fraud models across SoFi products.
Skills & Requirements
Must-have
end-to-end fraud model development
production ML model ownership
Python and SQL expertise
statistical modeling and ML techniques
model validation and monitoring
cross-functional stakeholder partnership
Nice-to-have
fintech or banking fraud experience
graph databases and network detection
AWS model deployment experience
influencing fraud policy decisions
Key Requirements
7+ years advanced quantitative modeling experience
Master's degree and 5+ years related experience
PhD and 3+ years related experience
Equivalent practical experience
Demonstrated ownership of production ML models
Experience designing, validating, and monitoring models