Risk Modeling Intern

Genworth • Raleigh, NC

5d • Hybrid

About The Position

Enact is seeking a Risk Modeling Intern to work with its risk modeling team in Raleigh, North Carolina. During a 12-week internship beginning May 17, 2027, the intern will help answer business questions and improve the predictive modeling process through traditional statistical techniques and machine learning. The role involves developing analytics and forecasting models, exploring large structured and unstructured datasets, and communicating findings and modeling methods to business users and model governance teams.

The internship is part of Enact’s program for students seeking hands-on business experience and opportunities to develop technical and professional skills. Interns work on business projects, network with company leaders, participate in cohort teambuilding and community volunteer opportunities, and attend professional development workshops. The position is based at Enact headquarters in Raleigh on a hybrid schedule.

Requirements

• Be an undergraduate junior or first-year graduate student in a quantitative research field, such as statistics, econometrics, computer science, demography/actuarial science, mathematics, data science, quantitative social sciences, epidemiology, or engineering.
• Have experience applying machine learning algorithms to data.
• Have previous coding experience in Python, R, SAS, or a related language.
• Be able to communicate complex ideas to a variety of audiences.
• Have an interest in analyzing and interpreting data in the insurance, banking, or financial services industries.
• Have a minimum GPA of 3.2 on a 4.0 scale.

Nice To Haves

• Pursuing a degree in Statistics, Mathematics, Operations Research, Computer Science, Economics, or Finance; all majors are considered with strong work or project experience.
• Proficiency in Excel, Word, and PowerPoint.
• Exposure to the insurance, banking, or financial services industries.
• Knowledge of cloud data services such as Snowflake or AWS.
• Experience with Structured Query Language.

Responsibilities

• Design, create, and implement advanced analytics and forecasting models to optimize business processes.
• Provide decision-making insights using machine learning and traditional statistical modeling.
• Use large datasets to conduct exploratory data analysis and build models with structured and unstructured data to guide business decisions.
• Explain models and methods clearly to non-analytical business users and model governance teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern