Risk Modeling Intern
Enact Mortgage Insurance
Raleigh-Durham-Chapel Hill AreaFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year
- Must know
- Machine learningBudgetingStatisticsData analysisData structures & algorithmsPython
- Nice to have
- ExcelMicrosoft OfficeAWSSnowflake
- Work
- On-site in Raleigh-Durham-Chapel Hill Area · internship
- Pay
- Not stated by the employer.
- Skill demand
- Statistics35%Budgeting22%Data analysis20%Machine learning11%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 29, 2026 · still open
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About the Role
This is a 12-week internship opportunity beginning May 17, 2027, in Raleigh, NC. You will work with the risk modeling team to answer business questions and improve the predictive modeling process using both traditional modeling techniques and machine learning.
Key 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.
- Build models using structured and unstructured data to guide business decisions.
- Communicate models and methods in a logical and understandable manner for non-analytical business users and model governance teams.
Requirements & Tech Stack
- 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.
- 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.
Preferred Qualifications
- Proficient in Excel, Word, and PowerPoint.
- Exposure to insurance, banking, or financial services industries.
- Knowledge of cloud data services such as Snowflake, AWS.
- Experience with Structured Query Language (SQL).