Arch - Boston, MA
posted 2 months ago
The Arch Catastrophe Analytics team is seeking a Senior Catastrophe Research Analyst to join our dynamic and growing team. This position is integral to our mission of enabling possibility by providing innovative solutions for natural and man-made catastrophes. The successful candidate will work closely with senior leadership, underwriters, and actuarial teams across Arch Insurance, contributing to the development of strategies that address complex catastrophe-related challenges. This role requires a self-starter with strong data skills, creativity, and a readiness to tackle diverse tasks. In this role, you will be responsible for performing validation of hazard and vulnerability components of major peril models, as well as evaluating new models and datasets. You will examine model version changes and develop the Arch View of Risk framework for use across the organization. Additionally, you will evaluate third-party data and establish standards for its use across various business units. Your expertise will be crucial in ensuring that our catastrophe modeling practices are robust and effective, ultimately helping our clients and stakeholders achieve their goals. Candidates should possess a strong background in commercial catastrophe modeling, with at least 5 years of relevant experience. You will need to demonstrate expertise in third-party catastrophe model vendor platforms such as RMS and Verisk, along with an expert-level knowledge of natural perils including earthquakes, wildfires, floods, and atmospheric perils. Excellent verbal and written communication skills are essential, as is proficiency with Microsoft Excel and SQL. Familiarity with programming languages such as Python or R, as well as geospatial tools like ESRI, is a plus. This position offers the flexibility of remote work, allowing you to contribute to our team from anywhere in the USA. With an estimated travel requirement of up to 10%, this role provides a great opportunity for those who enjoy solving complex business problems and working collaboratively with talented colleagues.