Job Description

Posted on:

October 27, 2024

Use your data modeling experience to help drive informed business decisions at At-Bay, the world’s first InsurSec provider. Designed from the ground up to help businesses tackle cyber risk head-on, At-Bay combines industry-leading insurance with world-class cybersecurity technology, offering end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years from small and mid-size businesses with revenue under $2B, providing an integrated solution to manage risk is more critical than ever. At-Bay helps 40,000+ customers close their security technology and skills gap through their cyber insurance policy, making them 5X less likely to face ransomware attacks. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies.

Why you should join our Modeling team:

As a Principal Data Scientist on the Modeling team, you'll work under the Risk function alongside skilled team members in pricing, risk analytics, and decision engines. You'll collaborate closely 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’re 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, crucially shaping At-Bay’s risk model.

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 people passionate about what they do, leveraging technology to improve efficiency and minimize duplicative work, while supporting key business decisions with data-backed insights and a deep understanding of insurance risk.

Role overview:

Your work will directly contribute to At-Bay’s risk assessment framework, helping with data-driven decisions involving millions of dollars of exposure. This multidisciplinary role 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 leading and managing projects and conducting data analysis/modeling end-to-end.

At-Bay is unique in owning cyber security data and cyber insurance data, including claims. You will be responsible for developing an end-to-end data analytics platform. With this platform, you'll lead data analytics/research projects on all available data connected to cyber security and cyber insurance and provide insights to cross-functional stakeholders, including Risk, Insurance & Tech Product, Underwriting, and Claims teams.

How you’ll make an impact:

  • By 3 months:
    • Understand At-Bay’s internal data structure/platform and develop key relationships across the business
    • Identify areas of improvement in current data structure/platform and internal/external data sources
    • Design the data platform and process for rapid prototyping predictive models connecting internal and external data to cyber incidents
  • By 6 months:
    • Develop a data platform for rapid prototyping
    • Apply Gen AI and extract useful information from existing data sources
    • Share data and insights with our risk analytics and pricing team to inform segmentation and underwriting strategy
    • Initiate new data projects, perform data analysis, and provide insights to Risk, Cyber Research, Security, and Data Science teams

What you’ve accomplished already:

  • Led data science projects end-to-end, collaborating and communicating cross-functionally for success
  • Designed and developed data pipelines to support various data analytics
  • Applied Gen AI to extract insights from unstructured data, using data science techniques like clustering, anomaly detection, time series analysis, and supervised/unsupervised machine learning models
  • Achieved a Bachelor’s or Master’s degree in computer science, data science, or a related field
  • Proficient in Excel and SQL, with experience in Python and/or R

Location and Compensation:

This is a hybrid position based in the SF Bay Area. Our estimated base pay range for this role is $175,000-$200,000 per year, determined by factors including market data, location, internal equitability, domain knowledge, experiences, and skills. If this position sparks your interest, we encourage you to apply. Our team prioritizes talent.

Secret insights

At-Bay: With 356 employees, they’re on a roll! 40% growth in engineering shows demand for tech talent. HR also up 30%, reflecting solid employee support. Great opportunity for AI pros!