Fraud Model Developer

Job Summary

A company is looking for a Fraud Model Developer.

Key Responsibilities

• Own end-to-end development of fraud models from problem framing to production deployment
• Drive measurable reductions in fraud loss and false positives while influencing fraud strategy decisions
• Establish and maintain model monitoring standards to manage model risk proactively

Required Qualifications

• 7+ years of advanced quantitative modeling experience, or a Master's degree with 5+ years of related experience, or a PhD with 3+ years of related experience
• Demonstrated ownership of production machine learning models impacting fraud loss or false positive reduction
• Deep expertise in Python, SQL, and data visualization tools
• Strong knowledge of statistical methodologies and machine learning techniques
• Experience partnering cross-functionally with various stakeholders