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Actuarial Associate, Car

Lemonade Inc.

RemoteRemoteFull-time$125–140K/yrPosted 2w agoVerified open 6 days ago

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At a glance

Compensation
$125–140K/yr
Location
RemoteRemote
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

5 CAS ExamsBachelor's degree

Job overview

Lemonade Inc. is hiring an Actuarial Associate, Car. Lemonade is seeking an Actuarial Associate to apply actuarial discipline to complex car insurance challenges, leveraging data science and AI to ensure fair, accurate, and scalable pricing while collaborating across underwriting, product, claims, and business intelligence teams.

Key focus areas include 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, and Craft rate filing support for new machine learning models.

Important skills include R, Python, SQL, GLMs, Decision Trees, and Gradient Boosting Machines.

Skills & qualifications

RequiredNice to have

Skills

RPythonSQLGLMsDecision TreesGradient Boosting MachinesRandom ForestsClustering

Qualifications

4+ Years P&C Actuarial Experience5 CAS ExamsBachelor's Degree in Actuarial Science, Mathematics, Statistics or Related FieldAbility to Work Remotely

Full job description

We're looking for an Actuarial Associate 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

  • 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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