Fraud Model Developer
Occupations:
Data ScientistsSoftware DevelopersFraud Examiners, Investigators and AnalystsData Warehousing SpecialistsFinancial Quantitative AnalystsIndustries:
Business Schools and Computer and Management TrainingOther Professional, Scientific, and Technical ServicesComputing Infrastructure Providers, Data Processing, Web Hosting, and Related ServicesComputer Systems Design and Related ServicesManagement, Scientific, and Technical Consulting ServicesA 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