Actuary [Remote-US]

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. 

1. 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
2. Regulatory Leadership - Lead the preparation and review of complex regulatory filings:  this includes actuarial memo, rate indication, and modeling related supporting exhibits. 
3. Proficient Modeling - Utilize GLM expertise and machine learning expertise build, validate and interpret GLM models, provide expert feedback to Data Science partners
4. Process Automation and Improvement - Proactively identify and executive initiatives to automate pricing, reserving and risk workflows using Python or other cloud technologies
5. Tool Development - Design, develop and maintain actuarial, risk and forecasting tools using relevant actuarial, statistical and data science methodologies.
6. Stakeholder Management - Act as a key resource for the team, translating complex technical findings into actionable strategies for internal and external stakeholders
7. Cross Functional Collaboration - Lead cross-functional collaborative effort to curate and support delivery of actuarial products and services, ensuring exceptional performance and identifying opportunities for growth and product expansion.
8. 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.

• 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 programing 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

• 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