Job Description

Actuarial Business Analyst – Data Modernization (Property & Casualty Insurance)

Location: Remote

Work Experience: 10+ Years

Salary Range: $110-130K per annum

About the Role

We are seeking a motivated and detail-oriented Actuarial Business Analyst to support actuarial and data modernization initiatives for our P&C insurance business. This role focuses on transforming legacy systems, improving data quality, and enabling advanced analytics through modern data platforms. The position involves collaboration with actuarial, data engineering, and business teams to ensure accurate, efficient, and scalable data solutions.

Key Responsibilities

• Perform actuarial analyses to support pricing, reserving, forecasting, and portfolio monitoring for P&C lines of business.
• Collaborate with data engineering teams to design and implement data warehouse (DWH) solutions , ensuring actuarial data is structured for advanced analytics.
• Develop and maintain data models to support actuarial processes and reporting.
• Conduct experience studies, trend analyses, and exposure analyses using modern data tools.
• Support rate filings, model documentation, and regulatory submissions.
• Build reports and dashboards that communicate actuarial insights to senior management, underwriting, and risk teams.
• Work closely with stakeholders to validate assumptions and ensure alignment with business strategies.
• Contribute to modernization efforts by migrating actuarial data from legacy systems to cloud-based platforms.
• Stay updated on emerging data technologies, regulatory changes, and best practices in actuarial analytics.

Qualifications & Skills

Education & Experience:

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field.
• Total work experience 10+ years with 5+ years in P&C actuarial work and business analysis.
• Experience in data modernization or migration projects is highly desirable.
• Progress toward CAS actuarial exams is strongly preferred.

Technical Skills:

• Strong proficiency in SQL for data extraction and transformation.
• Experience with data warehousing (DWH) concepts and tools.
• Knowledge of data modeling techniques for actuarial and analytical purposes.
• Familiarity with actuarial software (e.g., ResQ, Emblem, Radar) is a plus.
• Proficiency in Excel and programming languages such as Python, R, or SAS for data manipulation and analysis.

Soft Skills:

• Strong analytical and problem-solving capabilities.
• Effective communication skills, including ability to explain complex data and actuarial concepts to non-technical stakeholders.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Strong organizational skills and attention to detail.

For more information on benefits and what we offer please visit us at

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