Fraud Data Scientist

Job Summary

Fraud Data Scientist, a full-time position focused on utilizing machine learning and statistical methodologies to develop risk solutions for credit, collections, and fraud management.

Key Responsibilities

• Connect business problems to data-driven solutions for measuring and monitoring risk
• Design scalable and automated modeling solutions using advanced statistical and machine learning methods
• Develop code and processes to analyze large datasets and extract actionable insights

Required Qualifications

• 1 to 3 years of experience in data science, machine learning, or artificial intelligence, preferably in fintech or financial services
• Master's or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, or Computer Science
• Advanced knowledge of SQL and experience managing large datasets
• Working knowledge of Python or R and experience with data science libraries
• Experience building machine learning risk models in payment processing is a plus