2025-7569 Catastrophe Modelling Analyst (Street)

AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.

The Catastrophe Modeling Analyst is responsible for cleaning clients' exposure data to enable accurate modelling of Cat risk (i.e., earthquakes, hurricanes, floods, etc.) as well as data from other man-made exposures such as Terrorism. The major tasks include data cleansing and modelling data from insurance clients in third-party software (AIR) through an Excel API.

1. Cleansing address and other location-level information (scrubbing, importing, and geocoding data).
2. Liaising with Underwriters on specific account requests.
3. Understanding and extracting information from insurance contracts (slips).
4. Analyzing modeling data from insurance clients in third-party software such as AIR.
5. Understanding results output and identifying trends and patterns in the data where applicable.

1. Proficiency in MS Excel.
2. Strong analytical, communication, and time management skills with critical thinking ability.
3. Strong interpersonal skills to work in a diverse and dynamic team, with adaptability to changing workloads and priorities.
4. Willingness to work outside of normal office hours, including evenings, weekends, and public holidays as necessary.
5. Flexibility with changing requirements and quick learner of new processes.
6. Knowledge of SQL, MS Access, Visual Basic, and database management systems such as SQL Server or similar software.
7. Basic knowledge of insurance and reinsurance contracts and terminology.

Experience with third-party catastrophe modeling software (e.g., RMS, AIR, EQE) is preferred.

Skill Proficiency Level

3 (Required)

3 (Required)

3 (Optional)

3 (Optional)

3 (Optional)

• Bachelor's degree, preferably in science or mathematics (e.g., BS in Computer Science, Engineering, Mathematics, Economics, Information Management, or Statistics).