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Catastrophe Modeler

Lemonade

Catastrophe Modeler

Lemonade

Remote

·

Remote

·

Full-time

·

1w ago

Compensation

$160,000 - $185,000

Benefits & Perks

Equity

Remote Work

Equity

Remote Work

Required Skills

Statistical modeling

Machine learning

Python

R

SQL

We are looking for a skilled Catastrophe Modeler who is eager to revolutionize home insurance with us. Joining our Insurance and Data Science teams, you will be critical in modernizing our pricing discipline across every facet of Lemonade—from distribution and underwriting to claims, compliance, and finance.

Your work will directly ensure fairness and accuracy in our pricing, leveraging complex data and data science to optimize the customer experience. This role is essential for our continued product expansion into new states and scaling our profitable growth.

In this role you'll

  • Own Catastrophe (CAT) pricing strategy, leveraging complex data to deliver state-specific recommendations

  • Lead the development and integration of cutting-edge predictive modeling projects in close partnership with the Insurance and Data Science teams

  • Craft comprehensive rate filing support for new machine learning models to ensure compliance and adoption

  • Recommend proactive pricing and underwriting actions based on robust CAT models and analytics

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

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

  • Assist in the design and development of internal pricing software to support real-time decision making and scalable growth

  • Coach and mentor analysts, elevating the technical capabilities of the team

What you'll need

  • 8+ years of statistical modeling experience

  • Advanced experience developing and implementing predictive models using both supervised and unsupervised machine learning approaches such as GLM, decision tree, and gradient boosting machines

  • Bachelor’s degree in Data Science, Economics, Mathematics, Statistics, Actuarial Science or a related field (or equivalent experience)

  • Proficiency in data science programming languages such as R or Python (preferred), and database query tools such as SQL

  • Ability to work in a remote environment

  • Prior experience in the insurance industry is a plus

  • 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

Lemonade's US base salary range for this full-time position is $160,000 - $185,000 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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About Lemonade

Lemonade

Lemonade

Public

Insurance company.

201-500

Employees

New York City

Headquarters

$1.2B

Valuation

Reviews

2.8

7 reviews

Work Life Balance

1.2

Compensation

2.0

Culture

1.1

Career

1.5

Management

1.0

15%

Recommend to a Friend

Pros

Remote work options available

First job experience opportunity

Intensive feedback for learning

Cons

Toxic management and micromanagement

Poor work-life balance and long hours

High employee turnover

Salary Ranges

15 data points

Junior/L3

Senior/L5

Junior/L3 · Statistical Reporting Analyst

1 reports

$80,301

total / year

Base

$69,826

Stock

-

Bonus

-

$80,301

$80,301

Interview Experience

1 interviews

Difficulty

4.0

/ 5

Duration

21-35 weeks

Interview Process

1

Application Review

2

Phone Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study