Actuarial Intern
SageSure
Fairfield, CAFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- Data analysisExcelData visualizationBusiness analysisStatisticsMachine learning
- Nice to have
- SQLPython
- Work
- On-site in Fairfield · internship
- Pay
- Not stated by the employer.
- Skill demand
- Excel41%Data analysis27%Data visualization24%Business analysis21%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 27, 2026 · still open
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About the Role
Support underwriting and analytics teams with hands-on exposure to specialty property insurance. Apply data analytics, research, and problem-solving skills to real-world business challenges. Work with leaders, product, risk and data analysts, and underwriters to analyze data, develop insights, and contribute to initiatives driving growth and risk management.
Key Responsibilities
- Support underwriters to evaluate individual risks by analyzing third-party data and identifying patterns or trends within the portfolio.
- Assist with the development and maintenance of dashboards and reports (e.g., Excel, Domo, SQL, or other tools) to track business performance.
- Conduct ad hoc data analysis and research to provide actionable insights that inform underwriting decisions.
- Partner with Specialty Property leaders on special projects related to pricing, portfolio strategy, and market expansion.
- Assist in preparing presentations and materials for leadership meetings and client discussions.
- Contribute to process improvements that streamline underwriting support and strengthen cross-functional collaboration.
Requirements & Tech Stack
- Currently pursuing a Bachelor’s degree in Civil / Environmental Engineering, Data Analytics, Statistics, Actuarial and Data Science, Risk Management, or a related field.
- Strong analytical and quantitative skills with the ability to turn data into actionable insights.
- Intermediate skills in Excel required.
- Familiarity with SQL, Python, or BI tools a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and collaborate effectively with teams.
- AI experience or coursework (e.g., applied AI, machine learning, natural language processing, or workplace analytics tools).