Senior Actuarial & Predictive Analytics Analyst

Universal Shield Insurance Group•Dublin, OH

About The Position

This role involves leading complex actuarial analysis and predictive analytics initiatives for the E&S/Specialty Programs Planning Unit. The analyst will partner with senior leadership, apply advanced modeling techniques, and leverage AI tools to identify trends and provide actionable recommendations. Key responsibilities include leading profitability reviews, supporting reserving analysis, conducting loss cost reviews, and preparing actuarial reports for various audiences. The position also involves documenting methodologies, conducting peer reviews, and enhancing actuarial tools and processes.

Requirements

Undergraduate degree in actuarial science, mathematics, statistics, data science, or a related field requiring modeling, programming, or quantitative analysis.
Generally 5 or more years of property/casualty actuarial experience, including a demonstrated background in predictive analytics.
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.
Ability to work and learn independently and solve complex insurance and actuarial challenges.
Entrepreneurial mindset.
Strong analytical, collaboration, and communication skills.

Nice To Haves

CSPA (Casualty Actuarial Society (CAS) Certified Specialist in Predictive Analytics) designation preferred.
2 or more actuarial exams preferred.
Experience with a carrier writing commercial liability, commercial property, and/or garage lines strongly preferred.
Experience with current AI tools like Claude, Claude CoWork, Claude Code preferred.

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.