Catastrophe Modeling Analyst

Hammerjack Pty Ltd; Philippines; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Hammerjack Pty Ltd in the Philippines is seeking a Catastrophe Modeling Analyst to leverage third-party CAT models, justify outputs, and produce risk analytics for cedents.

You will build reports, dashboards (Power BI), and notebooks, apply ML to large datasets, and collaborate with non-technical stakeholders. This role requires flexibility for peak-season hours and a quantitative background.

Qualifications

• Demonstrated analytical proficiency with intermediate Excel and practical experience with Python and/or SQL (R optional) for data preparation, analysis, and automation.
• Strong attention to detail and organizational skills.
• Excellent written and verbal communication for non-technical stakeholders.

Responsibilities

• Leverage third-party catastrophe models to estimate catastrophe risk.
• Explain and justify CAT model outputs to ensure reasonableness.
• Generate reports to illustrate cedents' catastrophe exposure.
• Handle cat pricing of reinsurance submissions with minimal supervision.
• Apply ML methods to large exposure datasets to produce actionable insights.
• Produce concise analytics artifacts, dashboards, and reproducible notebooks.

Skills

Excel

Python

SQL

ML techniques

Education

Quantitative degree

Tools

Power BI

ETL

Data warehousing

Job description

Role: Catastrophe Modeling Analyst

Responsibilities

• Leverage third-party catastrophe models to obtain estimates of catastrophe risk of client's cedents.
• Justify and explain the CAT model outputs and ensure that they are reasonable and correct.
• Generate other reports to give a complete picture of the cedents catastrophe exposure.
• Handle with minimal supervision the cat pricing of reinsurance submissions.
• Apply machine‑learning methods (e.g., similarity scoring and clustering) to clean, align, and analyze large exposure datasets-producing reliable, decision‑ready insights.
• Produce concise analytics artifacts-written reports/summaries, interactive dashboards (e.g., Power BI, etc.), and reproducible notebooks (Python/R)

Required

Skills/Experience

• Demonstrated analytical proficiency: intermediate Excel and practical experience with Python and/or SQL (R optional) for data preparation, analysis, and automation.
• Excellent attention to detail and organizational skills.
• Strong interpersonal and communication skills.
• Ability to produce clear, concise written reports/summaries and dashboards (e.g., Power BI, etc.) for non‑technical stakeholders.
• Interest in learning about reinsurance and catastrophe modeling.
• Ready to work outside of normal office hours during peak season, including evenings, weekends, and public holidays as necessary.
• Basic knowledge of insurance and/or reinsurance terminology.
• Flexible with changing requirements and ability to learn new processes quickly.
• Experience working with large, complex datasets and applying ML techniques to support data quality, alignment, and analytic insight generation is expected.
• Familiarity with data visualization tools (e.g., Power BI, etc.) is nice‑to‑have exposure to data engineering (ETL, pipelines, warehousing) and process/report automation is beneficial.

Education

• Graduate of any quantitative course, preferably in Mathematics, Actuarial Science, Computer Science, Information Technology, Physical Sciences, or Engineering.