Actuarial Associate
$88.8k - $152.3kMedica
Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration — because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued. The Actuarial Associate will analyze and evaluate the likelihood of future events in order to reduce and manage future risks. Complete and interpret actuarial analysis, valuations, cost estimates, and modeling using statistical programming and database tools. Perform rate level pricing functions and prepare monitoring reports on program or product pricing. Measure historical relationships to develop forecasts and identify trends. Performs other duties as assigned. Key Accountabilities
- Conduct and interpret actuarial analyses, valuations, and cost estimates.
- Perform rate level pricing functions and prepare monitoring reports.
- Use statistical programming and database tools for modeling and forecasting.
- Analyze historical data to identify trends and develop future projections.
- Apply actuarial principles to complex projects with moderate decision-making
- Bachelor’s degree or equivalent experience in a related field.
- Minimum of 5 years of work experience beyond degree.
- Associate of the Society of Actuaries (ASA) designation.
- Experience in healthcare or insurance actuarial work.
- Advanced proficiency in statistical programming and database tools.
- Knowledge of ACA Individual or Small Group pricing.
- Proficiency in actuarial analysis and modeling techniques.
- Strong statistical and analytical skills.
- Ability to interpret complex data and communicate findings effectively.
- Skilled in using statistical programming and database tools.
- Capable of working independently and managing multiple priorities.
- Effective decision-making and problem-solving abilities.
- Strong collaboration and communication skills.
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