Policy & Settlement Analyst — Data-Driven Finance

Starr Indemnity & Liability Company; City of Rochester (NY); On-site; USD 60,000 - 90,000; Full time

Job summary

Starr Indemnity & Liability Company in Rochester, NY is seeking a detail-oriented Policy and Settlement Analyst to help ensure accurate monthly settlements and robust controls across profit centers. The role requires sharp analytical thinking and clear communication to support reliable financial reporting.

You will research discrepancies, assist audits, and collaborate with cross-functional teams to improve data quality and drive timely financial reporting.

Qualifications

• Bachelor's degree in Insurance, Risk Management, Business, or related field.
• Strong Analytical Skills with the ability to problem solve.
• Excellent communication skills, both written and verbal.
• Proficiency in using data analysis tools and software.
• Preferred: Proven experience in insurance policy analysis or a similar role within the insurance industry.
• Strong analytical skills with the ability to observe when numbers are not where they should be.

Responsibilities

• Create monthly settlement of profit center transactions.
• Booking of exception transactions into our partner booking system.
• Research discrepancies identified by collections and offer possible solutions.
• Assist with audits by gathering pertinent documents and answering any follow up auditor questions.

Skills

Analytical skills

Communication skills

Data analysis tools

Problem solving

Education

Bachelor's degree in Insurance, Risk Management, Business

Tools

Data analysis software

Job description

Starr Indemnity & Liability Company in Rochester, NY is seeking a detail-oriented Policy and Settlement Analyst to help ensure accurate monthly settlements and robust controls across profit centers. The role requires sharp analytical thinking and clear communication to support reliable financial reporting.

You will research discrepancies, assist audits, and collaborate with cross-functional teams to improve data quality and drive timely financial reporting.