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Actuarial Analyst
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Job Description
- Req#: 58d07c781facc75d
Description
Join Rural Mutual Insurance's Actuarial team and help drive data-informed decisions that support profitable growth and business success. The Actuarial Analyst performs pricing, reserving, forecasting, and analytical work within a Property & Casualty insurance environment. This position works closely with Underwriting, Claims, Finance, Product Development, and Leadership to analyze business performance, evaluate risk, support regulatory requirements, and provide strategic recommendations. In this role, you'll receive competitive compensation based on experience, education, and actuarial exam progress, plus actuarial exam support and professional development opportunities.
This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship.
At Rural Mutual Insurance, we are dedicated to fostering a supportive and collaborative work environment. We offer a comprehensive compensation package, including health, dental, and vision insurance, a matching 401(k), and generous time off. Our commitment to career growth is unwavering, and we take pride in our A+ AM Best financial strength rating and recognition as a Madison Magazine Best Place to Work.
Join a team where your skills are valued and where you'll find ample opportunities for professional development. Let's make a difference together-apply today!
Responsibilities
$47
Qualifications
• Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, Economics, Data Science, or a related quantitative field.
• Successful completion of one or more CAS examinations preferred. (Exam progress is a factor in determining salary)
• One to five years of actuarial experience in Property & Casualty insurance, actuarial consulting, or a related environment. (Experience is a factor in determining salary)
• Strong analytical, problem-solving, and quantitative skills.
• Proficiency in Microsoft Excel.
• Experience with SQL, Python, R, SAS, Power BI, or similar analytical tools is preferred.
• Experience with pricing, reserving, predictive modeling, or regulatory filings is preferred.About the company
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