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snowflake r sql python dbtπ Description
- Own mortality assumptions across product, forecasting, and reporting.
- Lead development and maintenance of mortality models, assumption frameworks, and experience studies.
- Leverage post-issue audits and mortality risk scores to predict mortality early.
- Monitor actual-to-expected mortality with underwriting and data science teams.
- Use AI to accelerate insights and maximize business impact.
- Advise senior leaders as mortality SME and translate work into business recommendations.
π― Requirements
- FSA or near-FSA designation preferred; ASA candidates considered.
- 5+ years in life insurance actuarial roles with exposure to mortality and underwriting models.
- Experience with assumption setting for pricing, forecasting, or valuation across products.
- Track record partnering with finance, product, and underwriting; align actuarial rigor with business velocity.
- Familiarity with modern data tools and pipelines (SQL, dbt, Snowflake).
- Strong statistical modeling skills in R or Python.
π Benefits
- US benefits information available at https://www.ethoslife.com/careers/
- We are an equal opportunity employer.
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