Fraud Analytics Summer Intern (Remote & Paid)

Job Description:

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

Candidate Requirements:

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