Actuarial Manager

February 11

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Logo of Lemonade

Lemonade

Lemonade is an innovative insurance company that offers renters, homeowners, car, pet, and life insurance with a focus on simplicity, affordability, and speed. It has disrupted the traditional insurance model by using technology and artificial intelligence to streamline the insurance process and provide an exceptional customer experience. Lemonade emphasizes transparency and social impact by operating as a Public Benefit Corporation and B-Corp, and it aims to give back profits to causes chosen by its customers. The company is publicly traded on the New York Stock Exchange under the ticker symbol LMND and is highly rated by users and rating platforms for its customer-centered approach.

insurance • Technology • Behavioral Economics • User Experience • Artificial Intelligence

1001 - 5000 employees

Founded 2015

🤖 Artificial Intelligence

🌍 Social Impact

📋 Description

• Own the pricing processes for the UK market, including price making, modeling, implementation, and pricing strategy • Balance rating accuracy and profitability with price comparison website competitiveness • Lead pricing efforts for new products and add-ons • Identify optimal areas for pricing and underwriting action based on ongoing monitoring of the data • Further your actuarial education through industry research and stay on top of changing regulatory requirements

🎯 Requirements

• At least 5 years of non-life actuarial experience, and experience managing a team of actuaries • FIA (Fellow of the Institute of Actuaries) or FFA (Fellow of the Faculty of Actuaries) • Ability to work in an office environment (London) • Master’s degree in mathematics / econometrics / actuarial science / related field • Personal lines experience strongly preferred • Price comparison website (PCW) and/ or commercial pricing experience is an advantage • General knowledge of data science programming languages such as Python (preferred) or R, and in database query tools such as SQL. Broad understanding of predictive modeling with focus on supervised models and affinity with unsupervised learning technics • Enthusiasm about learning and adapting to the exciting world of AI –  a commitment to exploring this field is a fundamental part of our culture

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