We’re seeking an enthusiastic Senior Actuarial Analyst who loves turning rich insurance data into clear, reliable insights by writing optimized R and SQL code and integrating AI to automate and speed up tasks. If you enjoy linking data work with the “why” behind insurance decisions, you’ll feel right at home here.
You’ll explore data from every Lemonade line of business, design optimized pipelines that fuel our monthly, quarterly, and annual reserving and ERM processes and collaborate closely with Reserving and Pricing Actuaries, Insurance Product, Data Engineering, and Finance teams. Your work will ensure that every stakeholder, from actuaries to executives, has timely and trustworthy numbers that guide smarter choices for our customers and our business.
Develop detailed, clear, and optimized data processes for key teams to follow
Leverage AI and Gen AI to automate and enhance tasks across the Reserving function
Help build and validate the data underpinning ERM models used for capital allocation
Properly document methods and activities for all analyses
Leverage your analytical and modeling skills to automate and streamline processes
Further your own actuarial education through CAS exams and industry research while applying those learnings on the job
5+ years of P&C actuarial experience; ACAS or near-ACAS, preferred
B.S. in Actuarial Science, Mathematics, Statistics, or a related field
General knowledge of programming languages such as R (preferred) or Python, and proficiency in database query tools such as SQL or LookML
Broad understanding of reinsurance concepts, ERM, and P&C Reserving
Ability to work in an office 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.
Lemonade's US base salary range for this full-time position is $115,000-$132,500 + 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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