Product Performance Actuary

🕒 June 2

🇺🇸 United States – Remote

💵 $150k - $266k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Actuary

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Ethos

201 - 500 employees

Insurance

Ethos is a life insurance provider offering a fast and convenient way for customers to apply for and receive life insurance coverage. Specializing in no-medical-exam policies, Ethos allows individuals to secure life insurance quickly, with coverage options ranging from term life for various durations to guaranteed whole life policies. The company emphasizes ease of use, providing online tools such as coverage calculators and educational resources, as well as customer and agent support. Ethos also offers additional benefits like estate planning aids as part of its insurance packages.

📋 Description

• 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.

🎯 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities

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