Fraud Analytics Summer Intern

Job Description

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.

Responsibilities:

• 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.

Qualifications

• 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