Reports to: Actuarial Services Manager
Job Status: Hourly (20 - 38 hours per week) Pay: $23.50 per hour
Location: On-site at KFB State Office in Louisville, KY Term: May 2026 to August 2026
Provide support to the Actuarial Services Manager to complete tasks as assigned. Support will focus on ratemaking, reserving, and data analytics. Intern will have significant exposure to different areas of the insurance company through trainings, strategic meetings, and other collaboration.
Responsibilities
Collaborate with individuals from other departments (sales, product management, underwriting, IT, etc.) to complete relevant insurance/actuarial projects.
Learn and use current actuarial and other analytical techniques to analyze:
Rate level indications for KFB lines of insurance.
Trend analyses for claims, policy growth/retention, quotes, and market research.
Rate/product changes.
Unpaid claim estimation.
Ultimate claim payment and frequency estimation for individual events.
Collaborate with and support other accounting and finance personnel in project and department deliverables.
Attend trainings and outings to learn the business of insurance and to network with other interns and individuals from other departments.
Must be a trustworthy, responsible person with strong work ethic.
Regular, predictable attendance as employee has to physically be in the office.
This list of essential functions is non-exhaustive and may be supplemented as necessary.
Job Specifications
Physical demands: Normal hearing/vision (with or without correction).
Mental demands: Prolonged concentration.
Environmental factors: Standard office, lighting, temperature and noise.
Equipment: Keyboard; Telephone; Calculator; Copier; Personal Computer.
Qualifications
High school diploma.
Actively enrolled as a college student with a minimum of two years toward a Bachelor's degree in Mathematics, Statistics, Economics, Data Science, or similar field.
Have completed at least one actuarial exam-preference given to completion of multiple exams.
Ability to adhere to detailed instructions.
Experience with at least one data-intensive coding language (SAS, R, Python, SQL, etc.)
Proficiency with Excel spreadsheets and other Microsoft Office products.
Ability to work well with others, both inside and outside organization.