Property Reinsurance Analyst

TransRe; New York (NY); Hybrid; USD 100,000 - 125,000; Full time

Job summary

TransRe in New York City is seeking a Property Reinsurance Analyst to support the Global Property Portfolio & Third-Party Capital Solutions. You will improve efficiency, data quality and reporting across underwriting, portfolio management and third-party capital activities.

The role requires at least 1 year in catastrophe modeling (AIR/Verisk) and strong SQL/Python/Excel skills; the position offers a hybrid schedule (3 days in office, 2 remote) with a base salary range of $100,000–$125,000 plus

Qualifications

• Minimum of 1 year of catastrophe modeling experience (AIR/Verisk).
• Understanding of (re)insurance work processes and data systems.
• Proficiency in SQL, Python, Excel, and Power Platform applications.
• Experience with Snowflake or similar data platforms for BI.
• Strong data management, analytics and cross-functional communication.

Responsibilities

• Support servicing and reporting for third-party capital partners and portfolio analytics.
• Collaborate with underwriting, actuarial, finance and IT on quarterly reporting.
• Develop and maintain automated workflows to increase efficiency and data consistency.
• Gain deep knowledge of internal systems and data (e.g., TIRS, EDW).

Skills

Catastrophe modelling

Data analysis

Cross-functional collaboration

Tools

SQL

Python

Excel

Power Platform

Snowflake

Job description

We have the following job opportunity in our New York City office:

Description

We are seeking a Property Reinsurance Analyst to support the Global Property Portfolio & Third-Party Capital Solutions function. This role will focus on improving operational efficiency, data consistency, reporting capabilities, and workflow automation across underwriting, portfolio management, and third-party capital activities. Responsibilities will include, but not be limited to:

• Supporting ongoing servicing and reporting requirements for third-party capital partners, including portfolio analytics, data requests, collateral reporting, and renewal-related deliverables.
• Collaborating with catastrophe modeling, underwriting, actuarial, finance and IT to support the quarterly reporting.
• Building and applying deep knowledge of TransRe’s internal systems and data (e.g. TIRS, EDW), as well as vendor data used in key underwriting and portfolio management systems.
• Designing and maintaining tools and automated workflows (e.g. Python, Excel or other platforms) to enhance operational efficiency, reduce manual processes and improve data consistency.
• Managing multiple priorities and delivering accurate, timely analysis and reporting in a fast-paced environment.

Requirements

Qualified candidates will possess the following knowledge and experience:

• Minimum of 1 year of experience working with catastrophe modeling (AIR/Verisk)
• Understanding of (re)insurance work processes, accounting, data and information systems
• Proficiency in SQL, Python, Excel, and Microsoft Power Platform applications.
• Experience with Snowflake or similar data platforms for business intelligence and machine learning.
• Strong data management, analytics, and communication skills, with the ability to collaborate across cross-functional teams.

Work Schedule

TransRe is supportive of an agile work schedule, which may differ based on individual roles, your local office’s practices and preferences marketplace trends, and TransRe’s business objectives. This position is located in our New York City office and is eligible for a hybrid work schedule with 3 days in the office per week, and 2 days remote.

Compensation

In addition to base salary, for this position, TransRe offers a comprehensive benefits package, paid time off, and incentive pay opportunity. The anticipated annual base salary range in New York for this position, exclusive of benefits, paid time off, and incentive pay opportunity is $100,000 - 125,000. This range is an estimate and the actual base salary offered for this position will be determined based on certain factors, including the applicant’s specific skill set and level of experience.