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℠. Job Description The Catastrophe Modeling Analyst quantifies catastrophe risk on Arch Re’s inward reinsurance contracts, analyzing client exposure and model outputs in third‑party platforms, researching catastrophe risk, and producing clear exposure reports. In parallel, the role leverages scalable data‑science and machine‑learning (e.g., similarity scoring, clustering) to clean, align, and analyze large exposure datasets, producing decision‑ready insights while fulfilling core 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/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. Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team. 10400 Arch Global Services (Philippines) Inc. Arch Capital Group Ltd. is a Bermuda-based specialty insurer that provides insurance, reinsurance and mortgage insurance on a worldwide basis. With a 20+-year track record of delivering results and a coveted position on the S&P 500 index, Arch is a great place to grow your career. Attention Job Seekers: Arch Capital Group Ltd. (Arch) and its affiliates take your interest in working here very seriously. Please be vigilant to fraudulent activity if you receive a communication or email asking you to submit any personal information. Do not send money or pass any details to someone suggesting they can provide employment with Arch. You should only enter your information into our official career portal. Please know the following about our interviewing and hiring practices. We never make job offers without a formal, in person, interview process. We never ask you to send money of any kind.