Actuary

October 30

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Lemonade

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

1001 - 5000

Description

• Manage rate levels and build advanced pricing models & tools • Lead predictive modeling projects with Data Science team • Craft rate filing support for new machine learning models • Recommend pricing and underwriting actions based on monitoring of results • Develop rates and pricing strategy for product expansions in new states • Assist in design of internal pricing software for advanced analytics • Further actuarial education through CAS exams • Actively coach and mentor analysts

Requirements

• 5+ years of P&C actuarial experience; Attained ACAS or greater • Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field • Proficiency in data science programming languages such as R or Python (preferred), and database query tools such as SQL • Familiarity 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 car pricing experience is a definite plus • Ability to work in a remotely