- Own and improve onboarding fraud decisioning across the full application journey, including identity verification and KYC controls.
- Build, validate, deploy, and monitor models detecting identity theft, synthetic identity, and coordinated application abuse.
- Evaluate third-party fraud and identity vendors by measuring incremental lift, stability, and cost.
- Design and analyze A/B tests, shadow tests, and champion/challenger strategies to balance fraud loss and approval rates.
- Investigate emerging fraud patterns by combining application outcomes with operational feedback to develop new controls.
- Build AI-powered workflows to detect model drift, data quality issues, and evolving attack patterns.
- Partner with Product, Engineering, Compliance, and Fraud Operations to productionize changes and communicate impact to leadership.
PythonSQLMachine Learning