Senior COG Reinsurance Billing Analyst

Job description

The Senior COG Reinsurance Billing Analyst owns XOL billing and complex QS billing production for assigned programs within the Billing tower, reporting to the COG Reinsurance Billing Lead. This role operates with minimal day-to-day oversight, exercising independent judgment on complex calculation and billing processes.

Responsibilities

Calculate Reinsurance Transactions: Calculate and register reserve, loss, & premium adjustments based on reconciled data and application of appropriate contract wording. Prepare billing statements and adjusting entries as necessary to ensure correct P&L for both reporting and billing purposes.

Excess of Loss (XOL) statements

Prepare and distribute XOL billings, meeting contractual timeframes, liaising and coordinating with regional reinsurance/finance teams on shared programs, and acting as a key point of contact for certain strategic reinsurers which require advanced reporting and query resolution.

Quota Share (QS) Bordereau

Generate QS bordereau for complex programs. Perform first review of QS bordereau outputs generated by Billing Analysts for accuracy before manager review.

Large Claim Movement Analysis

Own monthly analysis of material assumed incurred loss movements in excess by treaty and by Business Unit in order to identify and action on large movements in claims.

Reinsurer & Broker Escalations

Resolve broker and reinsurer billing disputes and queries, providing timely responses as needed.

Analyst Support

Train and support the Billing Analysts and Co-Ops; act as Tower Lead backup on a rotating basis.

Process Improvement

Lead process improvement initiatives within assigned programs, identifying opportunities to standardize or automate recurring billing tasks.

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.

Preferred Qualifications

Experience with Sapiens, PCW, or R360 reinsurance systems. Familiarity with SQL and data visualization tools such as Power BI or Qliksense.