Job Description
Are you an ambitious actuarial professional looking to redefine risk assessment in the modern insurtech landscape? Aegis Mutual Insurance is seeking a Senior Actuarial Analyst to spearhead our predictive modeling and pricing strategies. In this high-impact role, you will bridge the gap between traditional actuarial science and state-of-the-art data analytics, driving profitability and product optimization across our commercial lines portfolio.
We offer a highly competitive hybrid work environment in the heart of Hartford, CT, combining premium compensation, comprehensive actuarial exam support, and an accelerated path to leadership.
Responsibilities
- Develop, calibrate, and implement advanced predictive models for product pricing, risk selection, and portfolio optimization.
- Analyze complex proprietary and third-party data sets to identify underlying trends in claim frequency and severity.
- Collaborate closely with Underwriting and Product Management teams to design and execute competitive market-entry strategies.
- Lead state regulatory filing processes, ensuring all rates, rules, and forms comply with local statutory regulations.
- Present clear, high-impact financial forecasts and actuarial insights to executive leadership and board stakeholders.
- Mentor and provide technical guidance to junior analysts, contributing to a high-performing peer culture.
Qualifications
- Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a highly quantitative field.
- Active pursuit of ACAS or FCAS credentials, with a minimum of 4 CAS exams passed.
- Minimum of 4 years of property and casualty (P&C) actuarial pricing or modeling experience.
- Advanced proficiency in programming languages such as Python, R, or SAS, and advanced SQL for database querying.
- Strong knowledge of predictive modeling techniques including GLMs, decision trees, and machine learning applications.
- Exceptional communication skills, with a proven ability to translate complex mathematical concepts into commercial business strategies.