Using Generative AI tools and your technical acumen to build tools to automate existing processes and develop new tools to drive efficiency gains and improve analytical insights
Performing actuarial pricing analyses, including statewide and segmented indications for homeowners insurance products
Developing and enhancing pricing methodologies, incorporating loss trends, expense assumptions, reinsurance costs, catastrophe modeling outputs
Working closely with actuarial leadership to reconcile actuarial indications with financial results and business objectives
Preparing actuarial support for rate filings, including exhibits, documentation, and responses to regulatory questions
Partnering with the insurance product team to support rate changes, pricing reviews, and state expansion efforts
Collaborating with insurance product management partners on class plan builds for state expansion projects
Pulling and cleaning data for CAT modeling, running CAT models and analyzing their output
Collaborating with technology and data teams to improve data quality, automate analyses, and modernize pricing workflows
Staying current on internal and external factors impacting pricing, including regulatory developments, market trends, catastrophe activity, and changes in corporate structure

Requirements

FCAS or Career ACAS
5+ years of actuarial experience in personal lines pricing
Strong technical skills and expertise, including demonstrable experience with SQL and Python (preferred)/R
Strong experience with actuarial pricing techniques, including indications, trend analysis, and risk segmentation
Demonstrated ability to perform independent, technically rigorous actuarial analyses
Proficiency in Excel
Excitement to learn about and leverage Gen AI tools to improve actuarial processes and practices
Bonus Points:
- Direct experience with Florida, Texas, and/or California residential property insurance
- Experience supporting rate filings and interacting with regulators or responding to DOI inquiries
- Experience working with large datasets and modern analytics workflows
- Experience with predictive modeling, especially loss cost modeling
- Experience in an insurtech or high-growth environment
- Hands-on experience with Git/GitHub in a team environment
- Experience with Generative AI tool usage

Benefits

Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level
401(k) with company match up to 4% of eligible earnings
Multiple medical plan options, plus dental and vision coverage
Company-funded HSA contributions (based on medical plan selection)
Company-paid life insurance and short-term disability
A variety of supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance
Access to mental health support and confidential counseling resources
Flexible PTO for exempt employees (most employees take 15–20 days per year), plus 8 company-observed holidays
Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents
Career mobility and internal growth opportunities across the organization
Professional development budgets for certifications, conferences, and learning available, subject to management approval

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

actuarial pricing analysisSQLPythonRExcelpredictive modelingloss cost modelingdata cleaningcatastrophe modelingtrend analysis

Soft Skills

technical acumencollaborationindependent analysiscommunicationproblem-solvingadaptabilityattention to detailanalytical thinkingleadershiporganizational skills

Certifications

FCASACAS