Senior Actuarial & Predictive Analytics Analyst

Key Responsibilities:

• Lead complex actuarial analysis and predictive analytics initiatives for the E&S/Specialty Programs Planning Unit, partnering closely with the Chief Strategy Officer and Chief Actuary as well as senior business and product leaders.
• Apply data mining, advanced analytics, modeling techniques to identify emerging relationships in data and translate findings into actionable recommendations; maintain expert-level knowledge of predictive modeling and validation methods, and evaluate new software and tools for potential adoption.
• Serve as one of the Company’s AI knowledge workers and leverage Company AI tools as components to developed analyses and solutions.
• Lead line-of-business profitability reviews and recommend rate and underwriting actions.
• Support reserving analysis by performing first-pass reviews and preparing recommendations for the Chief Actuary’s approval.
• Lead loss cost reviews, present recommendations to the Chief Actuary, and communicate approved actions to business units to secure buy-in.
• Document assumptions, methodologies, and data sources for all analyses.
• Conduct cross-functional peer reviews to strengthen collaboration, ensure quality, and drive innovation.
• Prepare actuarial reports and presentations tailored for non-technical audiences.
• Recommend enhancements to actuarial tools and processes in partnership with the Manager of External Data & Actuarial.
• Build and maintain relationships across teams, customers, and business partners; lead cross-functional communication.
• Perform other duties as assigned.

Job Requirements:

• Education: Undergraduate degree in actuarial science, mathematics, statistics, data science, or a related field requiring modeling, programming, or quantitative analysis.
• License/Certification/Designation: CSPA (Casualty Actuarial Society (CAS) Certified Specialist in Predictive Analytics) designation preferred; 2 or more actuarial exams preferred.
• Experience: Generally 5 or more years of property/casualty actuarial experience, including a demonstrated background in predictive analytics. Experience with a carrier writing commercial liability, commercial property, and/or garage lines strongly preferred.
• Technical Skills: Proficiency with statistical/programming tools commonly used in predictive modeling (e.g., SQL, R, Python, SAS) and data visualization platforms (e.g., Power BI, Tableau). High competency in MS Excel. Experience with current AI tools like Claude, Claude CoWork, Claude Code preferred.
• Core Competencies: Ability to work and learn independently and solve complex insurance and actuarial challenges; entrepreneurial mindset; strong analytical, collaboration, and communication skills.
• Reporting Relationship: Reports to the Chief Actuary.

Universal Shield Insurance Group offers a competitive benefits package that supports employees’ health, wellness, financial well-being, and work-life balance. Benefits include medical coverage with company-contributed HSA, dental and vision insurance, company-matched 401(k), and optional voluntary benefits.