Ethos Life

Insurance

ProductPerformanceActuary

$175–250k ~AI est. United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Product Performance Actuary at Ethos Life. Skills: Mortality analytics, Actuarial assumption modeling, Life insurance modeling. Own mortality-related assumptions. Lead development and maintenance of expected mortality models”

What You'll Achieve.

Improve product competitiveness; Improve financial integrity

Industry & Context.

Insurance
Problems you'll solve

Tackling open-ended problems; Building new methodologies

What They're Looking For.

Must Have

5+ years of experience in life insurance actuarial roles, Experience with assumption setting for life insurance pricing, forecasting, or valuation, Familiarity with modern data tools and pipelines, Statistical modeling skills in R or Python, Proficiency with Excel and actuarial modeling tools

Nice to Have

FSA or near-FSA designation, Experienced ASA candidates considered

What You'll Do.

Own mortality-related assumptions

Lead development and maintenance of expected mortality models

Lead development and maintenance of assumption frameworks

Lead development and maintenance of experience studies

Leverage leading data points to predict mortality

Monitor actual-to-expected mortality experience

Design protective value studies

Complete protective value studies

Quantify mortality lift of underwriting requirements

Quantify impact of applicant behavior on expected mortality

Quantify impact of applicant behavior on mortality curve

Utilize AI to accelerate pace of insights

Utilize AI to maximize business impact

Serve as Ethos mortality subject matter expert

Advise senior leaders internally

Engage with key partners externally

Translate technical work into actionable business recommendations

How You'll Work.

Team & Collaboration

Collaborate with underwriting teams; Collaborate with data science teams; Partnering with finance teams; Partnering with product teams; Partnering with underwriting teams

Communication Scope

Translate technical work; Actionable business recommendations

Full Job Description

About Ethos Ethos is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, Ethos is transforming the life insurance experience for consumers, agents, and carriers alike. Ethos offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. Ethos is redefining how life insurance is bought, sold, and underwritten. About the role Ethos is looking for an experienced actuary to lead our mortality analytics and actuarial assumption modeling. You will serve as the company's expert on mortality, translating complex insights into strategies that improve our product competitiveness and financial integrity. We're seeking someone with a strong foundation in life insurance mortality modeling who brings deep actuarial expertise and enjoys tackling open-ended problems. Building new methodologies where playbooks don't exist. You're energized by the chance to apply AI and emerging techniques to problems insurance companies have solved the same way for decades, and you know how to align actuarial rigor with product velocity across finance, product, and underwriting teams. If you're excited about pushing the boundaries of actuarial science while maintaining rigor and reliability, we'd love to hear from you. Duties and 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 colla

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