Enact is a leading private mortgage insurance provider based in Raleigh, NC. They are seeking a Process Improvement Analyst Intern to support the expansion of their Underwriting Copilot, ELLA, by contributing to evaluation, monitoring, and continuous improvement processes during a 12-week internship.
Responsibilities
Design month-to-month sampling aligned to company statistical methods and implement reproducible cohorts
Define and curate a “golden dataset” covering happy paths, edge cases, and synthetic augmentation to evaluate consistency and bias
Stand up continuous monitoring dashboards and alerting, supporting prompt versioning and automated regression testing
Build a closed-loop improvement process using test findings and underwriter feedback to guide operational playbooks
Document and communicate test plans, metrics, and release notes to support change management across underwriting
Qualification
Required
Pursuing a Bachelor's/Master's in Statistics, Data Science, Computer Science, Operations Research, or related field
Coursework or projects in experimental design, sampling techniques, and statistical inference
Hands-on experience with Python/SQL, data wrangling, and metrics design; familiarity with Snowflake or BI tools preferred
Interest in LLM/GenAI evaluation, prompt management, and MLOps
Strong communication skills and ability to turn analysis into operational playbooks
Preferred
Experience building evaluation harnesses (regression suites, golden datasets)
Exposure to cloud data pipelines and observability/alerting frameworks
Understanding of document extraction and data validation in financial services
Benefits
Multiple weekly events attended by all interns
Network directly with leaders throughout the company (all the way up to the CEO)
Teambuilding events with their internship cohort
Connect with the community through volunteer opportunities (both on-site and off-site)
Attend professional development workshops
Genworth is an insurance company that is dedicated to help people secure their financial lives, families, and futures.
