המקום בו המומחים והחברות הטובות ביותר נפגשים
In this role, you’ll be managing rate levels, building advanced pricing models & tools, and bringing actuarial discipline to all facets of Lemonade - from distribution to underwriting, claims, compliance, and finance. You’ll leverage competitive data and data science to optimize our customers’ experience and ensure fairness and accuracy in pricing.
In this role you’ll:Be an owner and expert on our car insurance state rating plans and rate indications
Lead the development and integration of predictive modeling projects while working closely with the Data Science team
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
Develop the rates and pricing strategy for product expansions in new states
Assist in the design and development of internal pricing software for advanced analytics to support real-time decision making and scalable growth
Further your own actuarial education through CAS exams and industry research while applying those learnings on the job
Actively coach and mentor analysts
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 remote environment
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