Ethos Life - Product Performance Actuary
Requirements
• FSA or near-FSA designation preferred; experienced ASA candidates considered. • 5+ years of experience in life insurance actuarial roles with exposure to both mortality and underwriting models. • Proven ability to translate third-party data, post-issue audits, and other leading indicators into expected mortality outcomes. • Experience with assumption setting for life insurance pricing, forecasting, or valuation across a broad range of products. • Track record of partnering with finance, product, and underwriting teams—aligning actuarial rigor with business velocity. • Familiarity with modern data tools and pipelines (SQL, dbt, Snowflake, etc.). • Strong statistical modeling skills in R or Python. • Proficiency with Excel and actuarial modeling tools. • Excellent communication skills, able to translate technical work for non-actuarial audiences. • #LI-Remote #LI-AG1 • #LI-Remote • #LI-AG1 • The US national base salary range for this full-time position is $150,000 -$266,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. • Please note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits. • You can find further details of our US benefits at https://www.ethoslife.com/careers/ • Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. At Ethos we are dedicated to building a diverse, inclusive and authentic workplace.
Responsibilities
• Own mortality-related assumptions and other actuarial inputs across product development, forecasting, and financial reporting. • Lead the development and maintenance of expected mortality models, assumption frameworks, and experience studies. • Leverage leading data points, such as post-issue audit data and mortality risk scores, to predict mortality before experience is fully credible. • Monitor actual-to-expected mortality experience and work collaboratively with underwriting and data science teams. • Design and complete protective value studies to quantify the mortality lift of underwriting requirements. • Quantify the impact of applicant behavior on overall expected mortality and mortality curve shapes. • Utilize AI to accelerate pace of insights and maximize business impact. • Serve as the Ethos mortality subject matter expert, advising senior leaders internally and engaging with key partners externally, translating technical work into actionable business recommendations.
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