About Us:
We’re a fast-growing, privately held insurance company on a path to become a leading U.S. retail platform. We believe every client and customer relationship holds the potential to grow into something greater—and the same is true for our people. As we grow, we’re redefining how great talent connects with meaningful work—enabling our ambitious strategy while building a culture of high performance, creativity, and partnership. If you’re energized by turning complex data into clear insights, partnering cross-functionally, and improving reporting and data processes, you’ll thrive here.
About the Role:
We’re looking for a Reinsurance Analyst who supports our Reinsurance team by delivering high quality data analysis, reporting, and process support. You’ll play a key role in transforming raw data into actionable insights, strengthening reporting accuracy, and improving data workflows through automation and documentation. The ideal candidate brings strong analytical skills, technical proficiency, and a collaborative mindset.
What You’ll Do:
Data Analysis & Reporting
- Assist members of the Reinsurance team by pulling and organizing data from internal systems, analyzing findings, and summarizing results
- Build and maintain recurring reports and dashboards to support reinsurance analysis and decision‑making
- Investigate ad hoc data questions and deliver clear, data‑driven insights
Data Accuracy & Quality Control
- Check data for accuracy, completeness, and consistency
- Identify, flag, and help resolve data issues or anomalies
Systems, Automation & Workflow Support
- Partner with IT to develop, test, and maintain scripts and data processes
- Support ongoing improvements to reporting efficiency, automation, and data workflows
Documentation & Knowledge Sharing
- Document processes and methodologies to ensure work is repeatable, maintainable, and reviewable
- Contribute to process standardization and best‑practice documentation across the team
What You Bring:
- Bachelor’s degree in mathematics, statistics, actuarial science, quantitative finance, or a related field
- Proficiency in Python, SQL, and Power BI
- Prior experience in reinsurance strongly preferred
- Prior experience in insurance, finance, or quantitative roles (3+ years preferred)
- Strong analytical and problem‑solving skills with a high attention to detail
- Ability to communicate analytical results clearly to both technical and non‑technical audiences
- Self‑motivated, eager to learn, and able to manage multiple tasks in a deadline‑driven environment
Core Competencies
- Data Analysis & Quantitative Reasoning: Strong ability to analyze complex datasets, identify trends and patterns, and produce accurate, actionable insights.
- Technical & Data Tools Proficiency: Proficient in Python, SQL, and Power BI, with the ability to build, maintain, and enhance reporting and analytical solutions.
- Reinsurance & Insurance Acumen: Understanding of reinsurance concepts and insurance data, with the ability to apply domain knowledge to analytical work.
- Problem Solving & Attention to Detail: Demonstrates precision, critical thinking, and sound judgment when validating data, resolving issues, and answering ad hoc questions.
- Communication & Insight Translation: Ability to clearly explain analytical findings to both technical and non‑technical stakeholders, enabling informed decision‑making.
- Initiative, Learning Agility & Time Management: Self‑motivated, eager to learn, and effective at managing multiple priorities in a fast‑paced, deadline‑driven environment.
What We Offer:
- A collaborative, inclusive environment that values authenticity, accountability, and partnership
- The opportunity to join the company at an exciting stage of growth, where colleagues are empowered to build what’s next
- A variable compensation package with a base range of $70K-80K
- A competitive benefits package including comprehensive medical, dental, and vision coverage; an HSA and 401(k) company match; paid time off; and employer-paid life and disability insurance
- Remote/hybrid work arrangement
At Prosperity, we are committed to equal employment opportunity and encourage people from all backgrounds to apply. We make hiring decisions based on merit and do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, disability, or any other protected status.
We strive for a meaningful interview experience for all candidates. If you need an adjustment or accommodation due to a disability or medical condition during the hiring process, please let your recruiter know.