Catastrophe Modeling Analyst - Junior (MS)

Arch Insurance Group Inc.; Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

Arch Insurance Group Inc. seeks a Catastrophe Modeling Analyst to quantify risk on inward reinsurance contracts. The role uses third‑party models, analyzes client exposure, and produces clear exposure reports. It also leverages ML to clean large datasets and deliver decision-ready insights.

You will generate concise analytics artifacts, dashboards (Power BI), and notebooks while handling cat pricing with minimal supervision during peak season.

Qualifications

• Analytical proficiency with Excel and Python/SQL for data preparation and automation.
• Attention to detail and strong organizational skills.
• Solid written/spoken communication abilities.
• Interest in reinsurance and catastrophe modeling.

Responsibilities

• Quantify catastrophe risk from Arch Re cedents using models and reports.
• Explain CAT model outputs and validate reasonableness.
• Produce reports and dashboards for exposure visibility.
• Support cat pricing of reinsurance submissions with data-driven insight.
• Apply ML methods to clean and align large exposure datasets for decision-ready insights.
• Create analytics artifacts and reproducible notebooks for stakeholders.

Skills

Excel

Python

SQL

R

Interpersonal communication

Education

Quantitative degree (Math, Actuarial, CS, IT, Physical Sciences, or Engineering)

Tools

Power BI

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.

The Catastrophe Modeling Analyst quantifies catastrophe risk on Arch Re’s inward reinsurance contracts, analyzing client exposure and model outputs inthird‑party platforms, researching catastrophe risk, and producing clear exposure reports. In parallel, the role leverages scalable data‑science andmachine‑learning (e.g., similarity scoring, clustering) to clean, align, and analyze large exposure datasets, producing decision‑ready insights while fulfillingcore catastrophe modeling duties

Responsibilities

• Leverage third-party catastrophe models to obtain estimates of catastrophe risk of Arch Re’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/Experienc e

• 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 isexpected.
• Familiarity with data visualization tools (e.g., Power BI, etc.) is nice‑to‑have; exposure to data engineering (ETL, pipelines, warehousing) andprocess/report automation is beneficial.

Education

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

10400 Arch Global Services (Philippines) Inc.