Actuarial Manager

We’re looking for a driven Actuarial Leader who is ready to lead a talented team while building the most innovative car insurance on the market! This role is critical as we accelerate our product's growth across new states and expand our analytical capabilities with cutting-edge machine learning.

You’ll be spearheading the development and implementation of advanced pricing models for our car product, managing rate levels, and bringing actuarial discipline to all facets of Lemonade—from distribution and underwriting to claims, compliance, and finance. You will leverage competitive data and data science to optimize our customers’ experiences and ensure fairness and accuracy in pricing.

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 state rating plans and rate indications for Lemonade

• Lead the development and integration of predictive modeling projects while working closely with the Data Science team

• Develop the rates and pricing strategy for product expansions into new states

• Assist in the design and development of internal pricing tools for advanced analytics and support real-time decision making and scalable growth

• Craft rate filing support for new machine learning models

• Recommend pricing and underwriting actions based on ongoing monitoring of results

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

• Manage and develop a team of high-performing Actuaries at various levels

What you'll need

• 6+ years of P&C actuarial experience; FCAS preferred

• 2+ years leading and managing a team

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

• Proficiency in data science programming languages such Python, and database query tools such as SQL

• Proficient with predictive modeling concepts, including supervised and unsupervised machine learning approaches such as GLMs, decision trees, gradient boosting machines, random forests, and clustering.

• Prior personal lines pricing experience is a definite plus

• Ability to work and manage in a remote environment

• Enthusiasm about learning and adapting to the exciting world of AI – a commitment to exploring this field is a fundamental part of our culture

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

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

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. Our competitive total rewards package includes comprehensive health & wellness coverage, equity, a 401(k) plan with employer match, 20 paid vacation days, and parental leave. Speak to your recruiter to hear more about the specific salary range for your preferred location and our total rewards package.

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