We are seeking a highly analytical and detail-oriented Actuarial Analyst to dive deep into data, statistics, and risk analysis to help shape our insurance products. You will bring your love for numbers and strong statistical knowledge to analyze complex datasets and deliver actionable insights. This is an exciting opportunity for someone with a numbers background, who enjoys leading initiatives and thrives in a startup environment with a desire to grow into a Director role over time.

THE DAY-TO-DAY

• Analyze and interpret insurance risks, with a strong focus on the statistical relationships that affect risk outcomes. Provide insights into device protection risks, pricing strategies, and trends in insurtech.
• Develop and maintain statistical models to analyze financial exposure, risk, and performance of insurance products. Use advanced data science techniques, such as predictive modeling, machine learning, and hypothesis testing to uncover trends and inform decision-making.
• Collaborate cross-functionally with teams such as Product, Engineering, and Finance to build out actuarial functions and initiatives.
• Work alongside data analysts to ensure our actuarial models are aligned with the company’s long term goals for data and machine learning. Create solutions to improve our systems and processes.
• Ensure that all actuarial work complies with insurance regulations and industry standards, adapting to changes in the insurtech landscape.
• Coordinate with underwriting partners around data organization and alignment.
• Prepare and present reports and analysis to senior management, underwriters, and other stakeholders.

WHAT MAKES YOU QUALIFIED

• Minimum of 4 years of experience working in actuarial analysis, data science, or pricing and underwriting, within the insurance industry, preferably within a startup environment
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Data Science, Finance, Accounting, or a related field. 
• Proficiency in statistical modeling techniques (e.g., regression analysis, hypothesis testing) and understanding of financial exposure and risk metrics.
• Experience with tools such as Python, R, SQL, or other statistical software as well as data modeling/analysis tools like Looker, PowerBI. Advanced knowledge of Excel.
• Strong analytical mindset, with a passion for diving into numbers and making data-driven decisions.
• Familiarity with actuarial processes (pricing, reserving, risk assessment).
• Strong organizational and project management skills.
• Demonstrated ability to lead initiatives, build out processes or functions from scratch, especially in a startup or fast-paced environment while working cross functionally. 
• Excellent organizational and time management skills.
• Ability to adapt to a fast-paced, dynamic startup environment and contribute to a positive and collaborative culture.
• Proactive and solution-forward, bias for action.

The base salary for this position ranges from $80,000 to $110,000. Individual compensation varies based on job-related factors, including business needs, experience, level of responsibility and qualifications. 

WHY YOU’LL LOVE IT HERE

• Unlimited vacation
• Paid sick time
• Competitive health benefits, including medical, dental and vision insurance
• Robust 401k program – to invest in your future
• Monthly wellness stipend (e.g., gym yoga, meditation, etc..) – we value your well-being
• Monthly treat yourself stipend – dinner on us!
• Remote workspace stipend – Work from home or from a shared workspace — you decide.
• Paid volunteer time – giving back to our community is important to us!
• Annual learning credit –explore personal interests that excite you.
• …and so much more!