Director, Data Science
ClioFull Time
Expert & Leadership (9+ years)
Candidates should have proven experience in data mining, machine learning, and statistical techniques applied to cyber risk data. They must possess managerial experience and the ability to build and lead a team. Experience in developing data-driven programs that integrate cybersecurity intelligence with insurance analytics is essential. Familiarity with threat data mining, breach pattern analysis, risk modeling, and post-incident analytics is required, along with a strong understanding of cybersecurity principles and insurance analytics. The ability to build cross-functional relationships and contribute to strategic vision and roadmap definition is also necessary. GIAC Cyber Threat certification is a plus.
The Director of Data Mining & Cybersecurity will be responsible for building and leading the cyber forensics and threat intelligence function from the ground up. This includes architecting the strategy, hiring and leading a cross-functional team, and developing core capabilities in threat data mining, breach pattern analysis, risk modeling, and post-incident analytics. Responsibilities also include creating scalable systems and models to drive cyber risk assessment, improve loss forecasting, and inform product development. The role involves establishing foundational data mining processes, delivering machine learning models, supporting underwriting with data-driven recommendations, and building strong cross-functional relationships. Additionally, the Director will lead the development of standardized workflows, mentor a team of data analysts and scientists, drive initiatives to integrate insights into business strategies, establish metrics and dashboards, and influence technical strategy and resource planning.
Provides insurance and cybersecurity solutions
At-Bay provides businesses with solutions to manage cyber risk by combining insurance and cybersecurity technology. The company offers various types of specialty insurance, including Cyber, Tech Errors & Omissions (E&O), and Miscellaneous Professional Liability (MPL). At-Bay's approach integrates these insurance products with advanced cybersecurity services, allowing clients to address their cyber risk comprehensively. Unlike many traditional insurance providers, At-Bay focuses specifically on the intersection of insurance and cybersecurity, which sets it apart in the market. The goal of At-Bay is to help businesses effectively manage and mitigate cyber risks while fostering an inclusive workplace and expanding its global presence.