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Title

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Actuarial Analyst

Description

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We are looking for a detail-oriented Actuarial Analyst to join our team. The ideal candidate will be responsible for analyzing statistical data, such as mortality, accident, sickness, disability, and retirement rates, and constructing probability tables to forecast risk and liability for payment of future benefits. This role requires strong analytical skills, proficiency in statistical software, and a solid understanding of insurance and financial principles. The Actuarial Analyst will collaborate closely with actuaries, underwriters, and other financial professionals to develop models that support pricing, reserving, and risk management strategies. Responsibilities include data collection, validation, and analysis, preparing reports and presentations, and assisting in the development of new actuarial models and methodologies. The candidate should be able to communicate complex actuarial concepts clearly to non-technical stakeholders and contribute to continuous improvement initiatives. This position offers an excellent opportunity to grow within the actuarial profession and make a significant impact on the company’s financial health and strategic planning.

Responsibilities

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  • Analyze statistical data to estimate risks and liabilities
  • Develop and maintain actuarial models and forecasting tools
  • Collaborate with actuaries and financial teams to support pricing strategies
  • Prepare detailed reports and presentations for management and stakeholders
  • Validate and ensure accuracy of data used in actuarial analyses
  • Assist in regulatory compliance and reporting requirements
  • Monitor emerging trends and update models accordingly
  • Support risk management and capital allocation decisions
  • Communicate complex actuarial concepts to non-technical audiences
  • Contribute to continuous improvement of actuarial processes and methodologies

Requirements

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  • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field
  • Strong proficiency in statistical software such as SAS, R, or Python
  • Knowledge of actuarial principles and insurance industry practices
  • Excellent analytical and problem-solving skills
  • Strong communication and presentation abilities
  • Ability to work collaboratively in a team environment
  • Detail-oriented with strong organizational skills
  • Familiarity with regulatory requirements and compliance standards
  • Progress toward actuarial professional certifications (e.g., SOA, CAS) preferred
  • Experience with data visualization tools is a plus

Potential interview questions

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  • What actuarial software tools are you most experienced with?
  • Can you describe a complex data analysis project you have completed?
  • How do you ensure accuracy and reliability in your actuarial models?
  • What steps do you take to communicate technical information to non-experts?
  • Describe your experience working with cross-functional teams.
  • How do you stay updated on changes in actuarial standards and regulations?
  • What motivates you to pursue a career in actuarial science?
  • Have you contributed to any process improvements in your previous roles?
  • What challenges have you faced when analyzing risk data, and how did you overcome them?
  • Are you currently pursuing or planning to pursue actuarial certifications?