USE YOUR DATA MODELING EXPERIENCE TO HELP DRIVE INFORMED BUSINESS DECISIONS Why you should join our Modeling team: As a Principal Data Scientist on the Modeling team, you will work under the Risk function alongside talented team members in pricing, risk analytics, and decision engines, while closely collaborating with the Cyber Research, Insurance and Tech Product, Claims, and Underwriting teams. The Modeling team at At-Bay has defined our aggregation view, developed an aggregation risk model, and supported reinsurance and finance in driving profitable growth. We are seeking a key team member to unlock new possibilities in attritional modeling, enhancing our segmentation and underwriting strategy. In this exciting role, you will be the first to apply data scientist knowledge and skill set to pioneer new methodologies in the attritional side of the risk domain, playing a crucial part in shaping At-Bay’s risk model. You’ll join a growing team of data scientists and modelers of diverse backgrounds and report to our Director in Risk Modeling (Yoshi Yamamoto). You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk. To learn more about the hiring manager, click here to review some white papers. Role overview: Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep knowledge of the intersection between cyber security and insurance, business acumen, research, and analytical skills. This is also a hands-on technical role not only for leading and managing projects but also conducting data analysis/modeling end to end. At-Bay is in a unique position owning cyber security data and cyber insurance data including claims. You will be responsible for develo...