This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

We’re looking for an accomplished and well-rounded Actuary to revolutionize actuarial and risk solutions using Python, R, SQL or other cloud technology and advanced analytics tools.

• Independent Execution: Independently analyze ratemaking, competitive analysis and customer data using actuarial and data analytics solutions to provide high-level rating recommendations and drive results.
• Regulatory Leadership: Lead the preparation and review of complex regulatory filings: this includes actuarial memo, rate indication, and modeling related supporting exhibits.
• Proficient Modeling: Utilize GLM expertise and machine learning expertise to build, validate and interpret GLM models, providing expert feedback to Data Science partners.
• Process Automation and Improvement: Proactively identify and execute initiatives to automate pricing, reserving and risk workflows using Python or other cloud technologies.
• Tool Development: Design, develop and maintain actuarial, risk and forecasting tools using relevant actuarial, statistical and data science methodologies.
• Stakeholder Management: Act as a key resource for the team, translating complex technical findings into actionable strategies for internal and external stakeholders.
• Cross Functional Collaboration: Lead cross-functional collaborative efforts to curate and support delivery of actuarial products and services, ensuring exceptional performance and identifying opportunities for growth and product expansion.
• Strategic Contribution: Significantly contribute to the ideation and development of new product feature offerings, with direct involvement and ownership of analysis, technical design, and output.

Qualifications

• BS/BA in Math, Statistics, Economics, Actuarial Science or similar or equivalent relevant experience.
• 6-8 years of hands-on experience in P&C ratemaking, with a strong track record of automating actuarial solutions.
• Deep programming experience in at least one of: Python (Pandas, NumPy, and Scikit-learn) or R (dplyr, ggplot2, caret).
• Solid understanding of statistical techniques including GLM, with the ability to build models and interpret results.
• Progress towards ACAS/FCAS designation (expected to have passed 5+ exams).
• Expert knowledge of insurance fundamentals, including pricing methodologies, reserving techniques, and regulatory requirements.
• Proficient SQL and modern data warehouses (Snowflake preferred).
• Experience using data visualization tools (Matplotlib, Seaborn, Tableau, or similar).
• Excellent communication for cross-functional collaboration.
• Entrepreneurial mindset with a passion for innovation and driving new product development.

Requirements

• Multi-language programming experience (Python + R + SQL) with cloud platform knowledge (AWS, Azure or similar).
• Experience building models using GLMs or other machine learning techniques.
• Understanding of telematics data and usage-based insurance model development.
• Non-traditional actuarial experience (ridesharing, InsurTech) or full product lifecycle experience from concept to market launch.

Benefits

• We provide a wide variety of health, wellness and other benefits. These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents, a Headspace app subscription, monthly wellness allowance and a 401(k) Plan with a company match.
• Given our virtual environment, a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture at your discretion.
• All employees accrue four weeks of PTO in their first year of employment. New parents receive twelve weeks of fully paid parental leave which may be taken within one year after the birth and/or adoption of a child.
• We’re committed to investing in and helping our people grow personally and professionally. All employees receive up to $5000 each year for professional learning, continuing education and career development.