• The Fraud Analytics Intern will work under the Data Scientist
• You will work on a project focused on developing new interdisciplinary fraud attributes using cloud technologies
• This will involve exploring data sources across domains and engineering novel features to enhance fraud detection models
• Integrate and analyze data from credit, identity, and behavioral domains to create new fraud features
• Apply programming and analytical skills for data processing, feature engineering, and model building in cloud environments
• Collaborate with data scientists and engineers to assess the effectiveness of newly developed attributes
• Develop and evaluate predictive models using newly engineered attributes

Document methodologies and present findings to support knowledge sharing and strategic plans

• Currently enrolled in a minimum of a Bachelor's degree program or above in Data Science, Statistics, Computer Science, or related field
• Return to school in the Fall of 2026 to complete degree program
• Proficient in statistical analysis, predictive modeling, machine learning and working with large datasets
• Proficient in Python, PySpark for data analysis and modeling
• Familiarity with cloud computing services (AWS)

Knowledge in credit or fraud risk modeling

• Fully remote
• Volunteer Time Off
• Great compensation
• Flexible work schedule
• Eligible for 401(k) participation in 90 days
• The hourly pay range for this position is listed above

Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education