Job Description
Are you a driven, analytical actuarial professional ready to step into a high-impact leadership-track role? Summit Mutual Insurance Group is seeking a Senior Actuarial Analyst to spearhead our pricing strategies and predictive modeling initiatives in the Property & Casualty (P&C) sector.
As a key member of our actuarial team based in Hartford, CTâthe insurance capital of the worldâyou will leverage cutting-edge modeling techniques to shape our competitive edge. You will collaborate directly with executive leadership, underwriting, and product development teams to translate complex data into profitable, real-world strategies. We offer a hybrid workspace, a premium study program for continuing exams, and unmatched career growth potential.
Responsibilities
- Develop, refine, and maintain advanced predictive models (including GLMs) for product pricing, risk selection, and loss reserve estimation.
- Lead rate filing initiatives, coordinating with state regulatory bodies to ensure seamless compliance and timely market entry.
- Conduct deep-dive portfolio performance reviews, identifying profitable niches and recommending actionable pricing adjustments.
- Partner with Data Science and Underwriting teams to extract, clean, and integrate high-impact data sources into our core pricing frameworks.
- Provide peer reviews and mentor junior actuarial analysts, fostering a collaborative culture of continuous learning and excellence.
- Translate complex actuarial findings into compelling, high-level presentations for senior executive leadership.
Qualifications
- Bachelorâs degree in Actuarial Science, Mathematics, Statistics, Economics, or a highly quantitative field.
- Active pursuit of CAS (Casualty Actuarial Society) credentials, with 4+ exams passed; ACAS designation is highly preferred.
- 4+ years of progressive actuarial experience in the P&C insurance industry, with a focus on commercial or personal lines pricing.
- Advanced proficiency in SQL and predictive modeling programming languages such as Python, R, or SAS.
- Demonstrated experience with actuarial software (e.g., Emblem, Classifier, Prophet, or ResQ).
- Superior communication and storytelling skills, with the ability to convey quantitative metrics to non-technical stakeholders.