Actuary, Car
About the role
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
- 5+ years of P&C actuarial experience, preferably in personal lines pricing
- Attained ACAS or greater
- 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 remotely
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 $135,000 - $157,500 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. ||#LI-Remote||
Not included in the source posting: about the role, qualifications, benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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