
Fraud Risk Modeler
1 day ago
Job Title: Fraud Risk Strategist
Overview:
The role involves utilizing data science and analytical skills to develop predictive models and enhance fraud detection capabilities.
Key Responsibilities:
- Design and develop machine learning models to identify emerging fraud patterns and optimize risk assessment.
- Collaborate with cross-functional teams to integrate advanced analytics into fraud prevention strategies.
- Provide expert guidance on the application of statistical techniques, such as decision trees and clustering.
Requirements:
- Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Data Science.
- 6-7 years of experience in developing, implementing, and maintaining predictive models for fraud risk.
- Proven expertise in data analysis and modeling, with a strong understanding of machine learning algorithms.
Preferred Qualifications:
Advanced knowledge of Python programming and SQL database management systems is highly desirable.
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