Job Brief
As an Actuarial Mathematician, you will analyze statistical data to assess risks and liabilities associated with future benefits. Your primary responsibilities will include constructing probability tables, evaluating mortality and retirement rates, and determining necessary insurance rates and cash reserves. The ideal candidate will possess strong analytical skills, proficiency in mathematical modeling, and experience with statistical software. This role requires a detail-oriented professional capable of translating complex data into actionable insights.
Responsibilities
- Analyze statistical data to forecast risk and liability for payment of future benefits.
- Construct and interpret probability tables based on mortality, accident, and disability rates.
- Evaluate current insurance rates and recommend adjustments based on actuarial findings.
- Collaborate with underwriters and financial analysts to develop risk assessment models.
- Utilize statistical software to perform complex calculations and simulations.
- Prepare detailed reports and presentations to communicate findings to stakeholders.
- Stay updated on industry trends, regulations, and best practices in actuarial science.
Requirements
- Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field.
- Pursuit of or completion of actuarial exams and professional certification (e.g., ASA, FSA).
- Proficiency in statistical analysis software (e.g., SAS, R, Python).
- Strong analytical and problem-solving skills with attention to detail.
- Experience with data modeling and risk assessment techniques.
- Excellent communication skills for presenting complex data to non-technical audiences.
- Ability to work independently and collaboratively in a team environment.
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