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Lemonade · 1 day ago

Actuarial Analyst, Reserving

New York, NY

Full-time

Onsite

Entry Level

$80K/yr - $98K/yr

1+ years exp

Lemonade is seeking an enthusiastic and analytical Actuarial Analyst to join their team in New York City. The role involves producing crucial reserve analysis for the Car Insurance product, collaborating with various departments to ensure accurate monthly reserves that impact financial health and product development.

Artificial Intelligence (AI)Financial ServicesInsuranceInsurTech

No H1B

Responsibilities

Develop and own detailed reserve estimates for our dynamic Car Insurance product, providing key insights to leadership

Present monthly reserving results and compelling explanations of trends to leaders across the company, translating complex actuarial concepts into clear business insights

Investigate and opine on internal or external trends—including regulatory changes and claims patterns—that impact our reserves, acting as a critical risk control

Properly document all selections, assumptions, and methodologies in your analyses, ensuring full transparency and compliance

Leverage your analytical and modeling skills to automate and streamline current reserving processes and reporting, moving the team toward greater efficiency

Actively pursue your actuarial education through CAS exams and industry research, immediately applying those learnings to improve our work and grow your career

Qualification

P&C actuarial experienceReserving techniquesR programmingPython programmingSQL proficiencyAnalytical skillsActuarial educationCuriosityCommunication skillsAdaptability

Required

1+ years of P&C actuarial experience, including hands-on work with reserving techniques

Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field

General knowledge of data science programming languages such as R (preferred) or Python, and proficiency in database query tools such as SQL

A strong analytical mind, with the curiosity and communication skills to investigate and explain complex data trends to both technical and non-technical audiences

Ability to work in an office environment a minimum of 3 days a week

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