Catastrophe Modeling Analyst – Mid

Job not on LinkedIn

🕒 February 24

🇵🇭 Philippines – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Analyst

👻 Ghost score 57%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Arch Global Services (Philippines) Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛡️ Insurance

📦 Logistics

💼 Consulting

Insurance • Logistics • Consulting

Arch Global Services (Philippines) Inc. is a company that provides business process outsourcing (BPO) services, primarily focusing on operations and information technology support. Located in the Philippines, they offer cost-effective offshore services to help companies control costs, scale quickly, and maximize productivity through a skilled and educated workforce. Arch Global Services aims to build dedicated offshore partnerships with businesses to address their operational needs effectively, ensuring no language barriers with their young, professional team. They emphasize their role as a partner in enhancing business efficiency by offering necessary and exceptional outsourcing services.

📋 Description

• 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).

🎯 Requirements

• 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.

🏖️ Benefits

• Employees can work remotely