Risk Modeling Intern

At Enact, we understand that there’s no place like home. That’s why we bring our deep expertise, insightful offerings, and extra mile service to work every day to help lenders put more people in homes and keep them there.

We’re looking for a Risk Modeling Intern in Raleigh, NC to join us in fulfilling our mission while utilizing our values of excellence, improvement, and connection. In addition to the multiple weekly events attended by all interns, you’ll work alongside industry experts for a 12-week internship beginning May 17, 2027. You will work with the risk modeling team to help answer business questions and improve the predictive modeling process using both traditional modeling techniques and machine learning.

THE PROGRAM
Enact’s Internship Program provides an excellent opportunity for students to gain hands-on experience in achieving business results while developing technical and professional skills. The internship program is a critical component of Enact’s talent pipeline as we look to interns to provide cutting edge ideas and skills that will drive business success.

Enact invests time, energy, and resources to create a worthwhile experience for interns. Interns work on meaningful business projects, but beyond that, they will network directly with leaders throughout the company (all the way up to the CEO), attend teambuilding events with their internship cohort, connect with the community through volunteer opportunities (both on-site and off-site), and attend professional development workshops. It’s a unique internship experience that helps interns develop a network of peers and mentors who act as a source of constant engagement and guidance during the internship.

LOCATION
Enact Headquarters, Raleigh, NC – Hybrid Schedule

YOUR RESPONSIBILITIES

• Design, create and implement advanced analytics and forecasting models to optimize business processes; provide insights for decision making using Machine Learning and traditional statistical modeling
• Use large datasets to develop and perform exploratory data analysis and build models using structured and unstructured data to guide business decisions
• Communicate the models and methods in a logical and understandable manner for non-analytical business users and model governance teams

• 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, Engineering, etc.
• Experience in applying machine learning algorithms to data
• Previous coding experience in Python, R, SAS or a related language
• Ability to communicate complex ideas to a variety of audiences
• Desire to analyze and interpret data in the insurance, banking, or financial services industries
• Preference for candidates pursuing degrees in Statistics, Mathematics, Operations Research, Computer Science, Economics, and Finance; all majors are considered, given strong work or project experience
• Minimum GPA of 3.2 on a 4.0 scale

• Proficient in Excel, Word, and PowerPoint
• Exposure to insurance, banking, or financial services industries
• Knowledge on cloud data services such as Snowflake, AWS.
• Experience with Structured Query Language

• We bring innovative thinking to the situations at hand
• We seek out and incorporate diverse views to strengthen our outcomes
• We work on challenging and rewarding projects