
Catastrophe Modeling Analyst – Mid
Posted May 22

Posted May 22
This is a fully remote position, open to applicants in Philippines.
• Utilize third-party catastrophe models to assess the catastrophe risk associated with Arch Re's cedents.
• Justify and clarify the outputs of CAT models, ensuring their accuracy and reasonableness.
• Create comprehensive reports to provide a full overview of the cedents' catastrophe exposure.
• Independently manage the catastrophe pricing for reinsurance submissions with minimal oversight.
• Implement machine-learning techniques (e.g., similarity scoring and clustering) to organize, align, and analyze extensive exposure datasets—yielding reliable, actionable insights.
• Develop succinct analytical outputs—written reports/summaries, interactive dashboards (e.g., Power BI), and reproducible notebooks (Python/R).
• Proven analytical skills: intermediate proficiency in Excel and practical experience with Python and/or SQL (R is optional) for data preparation, analysis, and automation.
• Exceptional attention to detail and strong organizational abilities.
• Excellent interpersonal and communication skills.
• Capability to produce clear and concise written reports/summaries and dashboards (e.g., Power BI) for non-technical audiences.
• Eagerness to learn about reinsurance and catastrophe modeling.
• Willingness to work outside of standard office hours during peak periods, including evenings, weekends, and public holidays as needed.
• Fundamental understanding of insurance and/or reinsurance terminology.
• Adaptability to changing requirements and a quick learner of new processes.
• Experience with large, complex datasets and applying ML techniques to enhance data quality, alignment, and analytic insights is expected.
• Familiarity with data visualization tools (e.g., Power BI) is a plus; exposure to data engineering (ETL, pipelines, warehousing) and process/report automation is advantageous.
• Employees have the option to work remotely.
Codgo.X
Kenlo
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