Actuary, Car

OpenKrill; United States; Sur place; USD 135 000 - 158 000; Plein temps

Résumé du poste

Lemonade is seeking an experienced actuary to drive car insurance pricing with an AI-first approach. You will own car rating plans, contribute to predictive models with the Data Science team, and support ML-driven rate filings. The role emphasizes ethics, transparency, and growth as AI tools evolve.

Expect remote work, collaboration across Underwriting, Product, Claims, and BI, plus opportunities to advance credentials and influence pricing strategy at scale.

Qualifications

• 5+ years of P&C actuarial experience, preferably in personal lines pricing.
• ACAS or higher certification.
• BS in Actuarial Science, Mathematics, Statistics or related field.

Responsabilités

• Own and develop expertise on car rating plans and rate indications.
• Contribute to predictive modeling projects with Data Science.
• Craft rate filing support for new ML models.
• Identify pricing and underwriting opportunities from results.
• Build a knowledge base of competitor rating strategies.
• Collaborate cross-functionally with Underwriting, Product, Claims, and BI.
• Advance actuarial credentials through recognized qualifications and research.

Connaissances

P&C Actuarial

ACAS

Python

SQL

R

Formation

Bachelor's in Actuarial Science

Outils

R

Python

SQL

Description du poste

We're looking for an Actuary to join our team and help push car insurance into the future. You'll bring actuarial discipline to some of the most complex questions in the business — from distribution to underwriting, claims, and beyond — while using competitive data and data science to make sure our pricing is fair, accurate, and built for scale.

We believe three things matter for every role at Lemonade: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.

Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.

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.