REVOLUTIONIZE CYBER INSURANCE WITH ADVANCED ACTUARIAL METHODS 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: As a Senior Risk Analyst, you'll leverage your actuarial expertise to design creative and innovative methods for assessing cyber risk, and help drive them to actions for the business. We're looking for someone who:
Has enough knowledge of traditional actuarial methods, to know how to apply them in non-traditional ways. Wants to spend time researching and experimenting with new statistical/mathematical techniques to manage risk in a complex field (cyber) Is fueled by curiosity and has the imagination and drive to innovate How you'll make an impact: By 3 months…
You'll have a working understanding of the cyber risk landscape and the cyber insurance market, including aspects such as threat actor ecosystem, cyber insurance coverages, etc. You'll have started experimenting with advanced statistical/mathematical models and techniques to understand individual components of the cyber risk landscape, such as drivers of frequency and severity. 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 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 starting to piece together the individual components of the cyber risk landscape to build towards a comprehensive risk management strategy that relies on statistical models and techniques. You'll be continuing to conduct experiments and exploring new techniques to respond to the complex and continually shifting cyber risk landscape, partnering with the Cyber Research team. 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 Direct actuarial experience, with ACAS to FCAS or other equivalent designation preferred 3+ years P&C experience in an insurance company/tech company/Insurtech/consulting company Direct statistical modeling experience, with experience building models from ideation to deployment, with a focus on continual iterations and refinement. Experience with using SQL to conduct data manipulation, including cleaning/transforming/creating data Experience with using Python for various forms of analyses, including building models, running automated processes, data cleaning 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. #LI-LM1
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