Actuarial Pricing Leader — Remote & AI-Driven Growth

Lemonade Inc.; United States; Remote; USD 150,000 - 170,000; Full time

Benefits offered by this job

Equity

401(k) employer match

20 paid vacation days

Parental leave

Health & wellness coverage

Job summary

Lemonade, Inc. seeks an Actuarial Manager to lead pricing for its car product across states and guide ML-driven pricing initiatives. You will manage rates, models, and actuarial discipline spanning distribution, underwriting, claims, compliance, and finance, driving AI-enabled growth with data-driven fairness.

You will lead a team of actuaries, collaborate with Data Science, and shape pricing for new markets while building scalable tools for real-time decision making.

Qualifications

• 6+ years of P&C actuarial experience with FCAS preferred.
• 2+ years leading and managing a team.
• BS degree in actuarial science, math, stats, or related field.
• Proficiency with data science tools and ML concepts.

Responsibilities

• Own state rating plans and rate indications for Lemonade.
• Lead predictive modeling projects with Data Science team.
• Develop rates and pricing strategy for new state expansions.
• Design internal pricing tools for analytics and decision making.
• Craft rate filing support for new ML models.
• Recommend pricing/underwriting actions from monitoring results.
• Build knowledge of competitor rating strategies.
• Manage and develop a high-performing actuarial team.

Skills

P&C actuarial experience

Team leadership

Python

SQL

Education

B.S. in Actuarial Science, Mathematics, Statistics, or related field

Tools

Python

SQL

Job description

Lemonade, Inc. seeks an Actuarial Manager to lead pricing for its car product across states and guide ML-driven pricing initiatives. You will manage rates, models, and actuarial discipline spanning distribution, underwriting, claims, compliance, and finance, driving AI-enabled growth with data-driven fairness.

You will lead a team of actuaries, collaborate with Data Science, and shape pricing for new markets while building scalable tools for real-time decision making.