Director of Data and Research

About At-Bay

At-Bay is a fast-growing cyber and specialty insurance startup based out of Mountain View, CA. We’re an insurance company built by cybersecurity experts, leveraging our security expertise to better understand digital risks and thus create better insurance products and services. We help clients by providing both risk transfer (the insurance policy), guidance on their security issues, and active risk management (helping them stay safe). At-Bay has raised over $50M in funding, backed by Acrew Capital, Khosla Ventures, Lightspeed Venture Partners, Munich Re Ventures, and Shlomo Kramer. We are currently 45 employees, split between Mountain View, San Francisco, New York City, Atlanta, and Tel Aviv, with a plan to double our headcount and increase our span across the US by year-end.
 

Your impact
You will manage a team of experts hailing from the distinct disciplines of data engineering, data science, and cyber research. You will create an environment that allows the team to collaborate on the rapid experimentation of new data sources and risk models. You will invent new ways to automate decision making wherever possible. You will be responsible that we stay ahead of the data and the insights that help At-bay to leap forward. This role puts you at the heart of At-Bay’s innovation.

Responsibilities

  • Build and scale the data team
  • Design and build production-grade data infrastructure to support internal and external risk data sources
  • Lead data science and cyber research
  • Design and build automatic engines for underwriting processes
  • Use data to drive risk decisions with collaboration with the entire company
  • Collaborate with Product Management and R&D teams to evolve the technology for higher efficiency


Attributes and Qualifications
  • You have 5+ years experience working in a technology company building a big data infrastructure to consolidate various external and internal sources - mandatory
  • You have experience successfully leading and managing teams of data scientists and researchers from multiple disciplines - mandatory
  • You have experience working with BI engines to drive KPI oriented decision making 
  • You enjoy working in interdisciplinary teams, exchanging ideas and learning from team members who may have different approaches to solving problems
  • You have a deep and contagious appreciation of craftsmanship and quality
  • You know to avoid analysis-paralysis syndromes and manage research portfolio efficiently
  • You have a clear, concise communication style
  • You feel comfortable in fast-paced tech organizations
  • Bonus points for deep background in cyber security or in the statistical analysis of financial risk 



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