COG Reinsurance Data & Automation Analyst

Job description

About the Role Join Chubb Overseas General (COG) as a Senior Reinsurance Data & Automation Analyst within our Reinsurance Operations team. You will own the systems, controls, and analytics that power our Billing and Settlements functions, turning complex reinsurance data into reliable, automated, and insightful reporting. You will build and improve Alteryx and AI workflows, drive process standardization across regions, and partner closely with Reinsurance Finance (FP&A) and Ceded Reinsurance colleagues around the world.

Key Responsibilities

Workflow Development: Lead initiatives to standardize and further automate recurring tasks across international reinsurance processes. Design, build, and maintain Alteryx and AI workflows that support operational functions, such as quota share statement generation and accounts receivable reconciliation.x0060 Reinsurance Data Maintenance: Maintain reinsurance database entries and reporting codes for global treaty programs, and resolve data rejections from our Sapiens reinsurance system.

Recoverables Reporting Automation

Progressively automate the monthly ceded reinsurance recoverables report used by Ceded Reinsurance and Finance stakeholders.

Large Loss Monitoring

Review claims summaries on large losses to identify potential reinstatement premium triggers, and coordinate recognition and booking with Reinsurance Services and Reinsurance FP&A.

Analytical Support

Provide data and analytical support to our Ceded Reinsurance Buyer team on program submissions, and respond to ad hoc data requests from Reinsurance Operations and FP&A.

Continuous Transformation

Lead initiatives to standardize and further automate recurring tasks across global reinsurance services processes.

Qualifications

Bachelor's degree in finance, accounting, data analytics, or a related field. 3–5 years of experience in reinsurance, finance, or data analytics. Strong communication skills, with the ability to work across business and technology teams. Experience working with large, complex datasets, including cleansing, transforming, and reconciling data from multiple source systems. Proficiency in Excel and Alteryx workflow development.

Curiosity and initiative in exploring emerging technologies, including AI-assisted tools, to improve efficiency and accuracy in recurring analytical work.