This role pays less than
72%
of similar roles. Most pay
$128,115–$195,000
— the shaded band above.
At the midpoint, this role pays about
$132k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About Lemonade
Lemonade is an AI-native insurance company offering renters, homeowners, auto, pet, and life insurance through a fully digital platform, using technology to provide instant quotes and fast claims processing. Industry: Insurance Technology
Actuarial Associate, Car joins the actuarial team to advance car insurance through data-driven pricing and predictive modeling. This role involves developing expertise on car rating plans, creating rate filing support for machine learning models, and identifying pricing opportunities by monitoring results. The individual will build a knowledge base of competitor rating strategies while collaborating cross-functionally with Underwriting, Product, Claims, and BI teams to ensure alignment. To succeed, the candidate must possess four years of P&C actuarial experience, preferably in personal lines pricing, and ideally have five CAS exams. Technical requirements include proficiency in SQL and data science programming languages like R or Python. The role requires familiarity with predictive modeling concepts such as GLMs, decision trees, gradient boosting machines, random forests, and clustering to solve complex problems regarding distribution, underwriting, and claims within the car insurance domain.