Actuarial Analyst

Company Details

At Midwest Employers Casualty (MEC), we combine the stability of a Fortune 500 company with the agility of an innovative team. We are passionate about improving the quality of life for employees severely injured on the job and helping companies understand and mitigate risk. Our culture values collaboration, curiosity, and continuous learning. If you want to make an impact, work on meaningful projects, and grow your career in a supportive environment, MEC is the place for you.

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Responsibilities

We have an opportunity for an Actuarial Analyst to join our MEC team with a primary focus on Pricing . This role is ideal for someone looking to build foundational actuarial skills while contributing to projects that advance strategy through analytics and technology. You will perform pricing analyses on individual accounts, including evaluating loss experience and developing expected loss estimates, while contributing to projects that support both Actuarial and broader company initiatives.

You will also gain exposure to other functional areas, including Reserving, Forecasting, Modeling, and Special Projects, as well as a variety of insurance products. This role will provide opportunities to support various activities and projects and, over time, offers the potential for a future rotation into one of the other functional areas as part of your career development.

MEC offers a highly competitive actuarial exam study program, with salary adjustments for exam success.

Core Responsibilities

• Perform pricing analyses for individual accounts, including loss experience reviews and expected loss development
• Build and maintain data queries, tools, and workflows that support pricing analyses
• Validate and reconcile data inputs to ensure accuracy, consistency, and reliability
• Communicate results, insights, and recommendations to actuarial and underwriting stakeholders
• Collaborate with team members across Pricing, Reserving, and Modeling
• Support cross-functional initiatives and broader actuarial projects
• Identify opportunities to improve processes, automation, and reporting capabilities
• Stay current on actuarial techniques, data tools, and emerging technologies, including AI applications

What You’ll Gain

• Early exposure to complex, account-level pricing decisions in excess workers’ compensation
• Development of both technical skills and actuarial judgment
• Hands-on experience with modern data tools (SQL, Power BI, and emerging AI applications)
• A structured and supportive actuarial exam program
• Collaboration with underwriting, leadership, and cross-functional teams

Qualifications

Required

• Bachelor’s or master’s degree in mathematics, statistics, actuarial science, or a related quantitative field
• Pursuit of actuarial designation through the Casualty Actuarial Society or Society of Actuaries (General Insurance track only) is required (CAS preferred)
• 1-3+ years related work experience (internship experience considered)
• Advanced knowledge of basic data analysis tools like Microsoft Excel
• Strong analytical and problem-solving ability
• Ability to communicate technical concepts clearly and effectively
• Strong attention to detail and ability to manage multiple priorities
• Keen attention to detail

Preferred

• Experience with SQL, Power BI, or similar data tools
• Exposure to R or Python
• Familiarity with insurance pricing concepts
• Experience in workers’ compensation or other commercial lines (commercial auto or general liability is a plus)
• Interest in predictive analytics and/or generative AI applications

Additional Company Details

We do not accept any unsolicited resumes from external recruiting agencies or firms. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Additional Requirements

Work Conditions • Location: Chesterfield, MO • Hybrid work environment

Sponsorship Details

Sponsorship not Offered for this Role