Careers

At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever.

At-Bay helps its 40,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them 5X less likely to be hit with a ransomware attack. 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 Risk Analytics team:

The Risk Analytics team is in charge of helping define, understand, and guide the company on existing and emerging trends in cyber risk. The team utilizes a wide toolset of advanced analytics skills and models to identify shifts in market and risk performance, and then drives these insights into actionable decisions for the company.

You’ll be joining a team of creative, technical, and innovative individuals with diverse backgrounds, and report directly to the Senior Manager of Risk Analytics. 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.

Role Overview:

We’re looking for someone with a strong insurance and actuarial background, with enough knowledge of the traditional actuarial methods to know how to apply it in non-traditional ways. As a Senior Risk Analyst on the team, you’ll leverage your background to design creative and innovative methods of understanding cyber risk, and then transform them into cross-functional business decisions.

Your work directly contributes 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 strong cyber and tech knowledge, business acumen, research, and analytical skills.

How you’ll make an impact:

By 3 months…

• You’ll have a working understanding of the Cyber insurance market, and of the components of the cyber insurance policy and coverages
• You’ll have a working understanding of the Cyber risk landscape, and what risk exposures exist across company’s networks and how the threat actor ecosystem impacts it
• You’ll have an understanding of how teams operate at At-Bay and their perspectives, including teams such as Cyber Research, Security Services, or Claims.
• You’ll be able to calculate and understand/explain key metrics
• You’ll understand and be able to navigate At-Bay’s internal data structure and dashboards/reports.
• You’ll start performing risk analysis to inform and support strategic decision-making, balancing profitability and growth

By 6 months…

• You’ll be proactively identifying anomalies, trends, and business opportunities, utilizing analyses such as loss cost reviews, macro industry trends, and impact of mix shifts & past actions
• You’ll be partnering with the Cyber Research team to identify emerging vulnerabilities across the Cyber risk landscape, and regularly provide cyber risk insights and proposed actions for stakeholders
• You’ll be conducting deep dive analysis on historical loss & product experience, leveraging advanced analytical tools and data techniques.
• You’ll have working relationships with key stakeholders and start collaborating to share insights and identify opportunities to drive material impact on the portfolio.
• You’ll be collaborating with the Insurance Product Team to recommend and propose risk actions based on monitoring and review of internal tools
• You will be helping improve the operational efficiency of the Risk team through automation and optimization.

What you’ve accomplished already:

• Bachelor's Degree or higher in Mathematics, Actuarial Science, Statistics, Data Science, or a related field
• 3+ years P&C experience in an insurance company/tech company/Insuretech/consulting company
• Direct actuarial experience, with ACAS to FCAS or other equivalent designation preferred
• Strong expertise with SQL, with direct working experience
• Strong expertise with Python and/or R, with direct working experience
• Strong data visualization and presentation skills, with direct working experience
• Experience with a BI tool, such as Tableau, Looker, Power BI, etc.

Our estimated base pay range for this role is $140,000-$160,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent.

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