ACTUARIAL INTERN - Remote

K2 Insurance Services, LLC is seeking a Summer 2026 ACTUARIAL INTERN to join its actuarial team.   

K2 Insurance, through its affiliated insurance companies and agencies, continues to expand its product offerings and distribution by developing new insurance programs and increasing the number and geographic diversity of its marketing, sales, underwriting, and support staff. 

This internship offers hands-on experience across multiple P&C lines and provides meaningful exposure to program business, actuarial pricing, and data analytics. As an intern, you will collaborate directly with our actuarial team while working with real data, contributing to ongoing projects, and developing a strong understanding of how actuarial insights influence underwriting decisions and business performance.

 Responsibilities: 

• Support profitability analyses and pricing studies across a variety of personal and commercial lines, including Property, General Liability, Commercial Auto, Professional Liability, and Homeowners.
• Perform data validation, quality checks, and exploratory analyses to identify trends or anomalies.
• Assist in maintaining Power BI dashboards and SQL queries, including updating reports, verifying results, and documenting changes.
• Participate in ad hoc analytical projects, providing input under the guidance of the actuarial team.
• Collaborate with team members to learn actuarial processes, industry practices, and company-specific tools and methodologies.

 Qualifications: 

• Interest in the insurance industry and a desire to pursue an actuarial career upon graduation.
• Pursuing a Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Economics, or related field.
• Must be familiar with the Actuarial exam process. Completion of an exam is a plus but not required.
• Effective problem-solving, analytical aptitude, and ability to embrace change.
• Ability to communicate effectively, manage time, and meet deadlines.
• Proficiency in Microsoft Excel; knowledge of VBA, SQL, or Python is helpful.
• Familiarity with data visualization tools (Power BI, Tableau, Qlik) is a plus.
• Available to work part-time (up to 29 hours per week) for 10-12 weeks during Summer 2026.

Pay Range: $20-25/hour USD