Early Careers New Grad - Actuarial Analyst (Health Insurance)

Location: Chicago, Illinois, United States; hybrid, with a minimum of three office days per week for flex employees

Base pay: $57,500–$103,800 annually, plus eligibility for an annual incentive bonus.

Company

hirify.global is a health insurance organization offering actuarial and professional development programs for early-career employees.

What you will do

• Participate in implementing and maintaining actuarial models, studies, and systems.
• Support pricing, underwriting, statistical analysis, reserving, forecasting, and related actuarial functions.
• Run, build, and analyze results from basic actuarial models.
• Prepare documentation, presentations, and training materials while developing communication skills.
• Participate in the Actuarial Student Program and the six-month Enterprise New Grad Program.

Requirements

• Pursuing a bachelor’s or master’s degree in actuarial science, mathematics, statistics, economics, or a related quantitative field.
• Graduation between December 2026 and June 2027.
• Minimum GPA of 3.0 on a 4.0 scale.
• Completion of one ASA exam equivalent under the Society of Actuaries Education and Examination System.
• Unrestricted authorization to work in the United States is required; visa sponsorship is not available.
• Strong verbal and written communication skills and proficiency with Word and Excel.

Nice to have

• Actuarial internship or experience in health insurance or a related field.
• Experience with Access, SQL, Visual Basic, or other programming tools.

Culture & Benefits

• Curated development plans and role-specific technical and professional development.
• Formal orientation, workplace-readiness sessions, networking, and shared learning with new graduate peers.
• Exposure to business areas, leaders, and career paths.
• Health and wellness benefits, 401(k), pension plan, paid time off, paid parental leave, disability and life insurance, paid holidays, tuition reimbursement, and an employee assistance program.