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Actuarial Associate, Car

Lemonade
Remote, USA
Full-time
Mid · 4+ years experience
Remote
USD 125000-140000 yearly / year
Discovered 1 months ago
RPythonSQLGLMs

Full Job Posting

In this role you’ll

Own and develop expertise on our car rating plans and rate indications

Contribute to predictive modeling projects in close partnership with the Data Science team

Craft rate filing support for new machine learning models

Identify pricing and underwriting opportunities based on ongoing monitoring of results

Build a knowledge base of competitor rating strategies and the broader competitive landscape

Partner cross-functionally with Underwriting, Product, Claims, and BI to drive alignment and action

Advance your actuarial credentials through recognized qualifications and industry research, bringing those learnings directly into your work

What you’ll need

4+ years of P&C actuarial experience, preferably in personal lines pricing

5 CAS exams, preferred

Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field

Working knowledge of data science programming languages like R or Python, and proficiency in SQL

Familiarity with predictive modeling concepts, including GLMs, decision trees, gradient boosting machines, random forests, and clustering

A genuine sensitivity to model transparency and ethics

Excitement about learning and growing alongside AI — this isn't optional, it's how we work

Ability to work in a remote environment

Please note that we are unable to sponsor applicants for work visas.

Unfortunately, we cannot consider applicants from these states: Alaska, California, Colorado, Montana, Hawaii, New Mexico and Puerto Rico.

Lemonade's US base salary range for this full-time position is $125,000 - $140,000 plus equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Speak to your recruiter to hear more about the specific salary range for your preferred location.

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