Principal Actuary

Posted Yesterday
Be an Early Applicant
2 Locations
Remote or Hybrid
140K-160K Annually
Senior level
Fintech • Insurance • Software • Analytics
Delivering data-driven cyber risk analytics for the insurance industry
The Role
The Principal Actuary applies statistical and actuarial methods to analyze and stress-test internal models, validate findings, and communicate results to stakeholders. Responsibilities include researching and assessing public data sources, improving data quality, supporting underwriting and actuarial tools, documenting analytical modules, adapting models to changing conditions, and contributing to research and development. The role also provides analytical support and collaborates independently and within teams.
Summary Generated by Built In

About CyberCube:

CyberCube delivers the world's leading analytics to quantify digital risk, helping the largest global carriers, reinsurers and brokers understand, price and manage cyber risk in financial terms.

  • AI at our foundation, cyber risk at our core. We don't just use AI, we shape it.

  • Built on AI from day one. Artificial intelligence has been part of our strategy since the beginning, blended with deep cybersecurity and insurance expertise and backed by rigorous testing.

  • Trusted by more than 100 clients, including 75% of the top 40 European and US cyber insurance carriers and 70% of the top ten reinsurance brokers.

  • Backed for global growth. In 2025 Spectrum Equity joined some of CyberCube’s financial partners as a new cornerstone investor, accelerating our global growth and fueling innovation across our end-to-end cyber risk analytics for the insurance industry.

  • A truly global team across San Francisco, New York, London, and Tallinn.

  • A culture of collaboration, openness, intellectual rigor, and ownership for excellence.

  • People at the forefront. We encourage CyberCubers to challenge themselves, push boundaries, and do the best work of their careers.

The Role

We are looking for a Principal Actuary to apply statistical methods for comprehensive analysis, stress-test internal models, collaborate on interpreting key findings, and communicate results to internal and external stakeholders.

Primary Responsibilities

  • Identify, evaluate and recommend statistical methods for use in analysis as appropriate

  • Stress-test internal models on an ongoing basis to ensure output meets expectation and customer demand, while helping find bugs or corner cases that need attention

  • Identify, interpret and validate key findings with team members to ensure high-quality deliverables

  • Communicate analysis results effectively with internal and external customers

  • Continuously validate and adapt model to changing environment

  • Participate in internal research and development activities, as needed

  • Provide analytical/actuarial support to other team members, as needed

Secondary Responsibilities

  • Search and identify relevant sources of publicly available information/data that will support the development and enhancement of new and existing underwriting and actuarial tools

  • Review each data source carefully to ensure consistency, identify deficiencies and perform basic tests/analysis to confirm accuracy and improve quality of the data

  • Create comprehensive documentation for the different modules involved in the creation of internal tools.

Requirements

  • Organization, Attention to Detail, Confidentiality, Thoroughness, Independence, Ability to Analyze Information, Results Driven, Bias Toward Efficiency

  • Ability to work independently and in a team environment

  • Excellent analytical and problem-solving skills

  • Hands-on experience with VBA, SQL, R, Python, Tableau or other statistical software

  • Bachelor’s degree in a related quantitative discipline such as statistics, actuarial or data science, economics, mathematics and/or relevant work experience

  • 6 to 8 years of relevant work experience

Why You’ll Love it Here

  • Play an instrumental role in reshaping one of the key industries in the world

  • Generous healthcare benefits with dental and vision coverage

  • Flexible working hours and the option to work from home when necessary

  • Opportunity to participate in a secondment program

  • Company supported mentorship program

  • Grow in a collaborative, respectful, and empathetic culture

AI Fluency at CyberCube

AI is reshaping how work gets done across every function. We value people who are curious about AI, eager to learn, and thoughtful about applying AI tools to work more effectively. AI fluency is part of how we assess every role in our hiring process.

Don't tick every box? Apply anyway.

Research shows the best candidates rarely match a job description point for point. If you're excited about this role and believe you could make an impact, we'd love to hear from you, even if your experience doesn't line up perfectly with everything listed above.

CyberCube Analytics, Inc. and CyberCube Analytics Europe Limited is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.

Skills Required

  • Strong organization and attention to detail
  • Confidentiality and thoroughness
  • Independence and results-driven execution
  • Ability to analyze information
  • Bias toward efficiency
  • Ability to work independently and in a team environment
  • Excellent analytical and problem-solving skills
  • Hands-on experience with VBA, SQL, R, Python, Tableau, or other statistical software
  • Bachelor's degree in statistics, actuarial science, data science, economics, mathematics, or a related quantitative discipline, or relevant work experience
  • 6 to 8 years of relevant work experience
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The Company
HQ: San Francisco, CA
138 Employees
Year Founded: 2018

What We Do

CyberCube is a SaaS technology company, developing world-leading cyber risk analytics and modeling to help society understand the financial impact of cyber risk. We enable society to make better decisions about which digital risks to avoid, mitigate or insure as internet-connected technologies change the nature of risk in the 21st Century. CyberCube delivers world-class insight-driven analytics, built specifically for the insurance ecosystem. We’re helping our customers all over the world use our data and analytics applications to enable insurance placement, underwriting decisions, and portfolio management optimization. We help power insight-driven decisions to grow cyber insurance in a sustainable, profitable way. We help the cyber insurance market to grow profitably through the use of our world-leading cyber risk analytics. We give insurers the ability to take insight-driven risk decisions, see trends before they become claims and tackle complex and important challenges. The combined power of our unique data, multi-disciplinary analytics and cloud based technology helps with insurance placement, underwriting selection and portfolio management optimization. Our deep bench of experts from data science, security, threat intelligence, actuarial science, software engineering and insurance helps the global insurance industry by selecting the best sources of data and curating it into data sets to identify trustworthy early indicators of risks and build a forward-looking view of them.

Why Work With Us

Our supportive and respectful environment increases the participation and contribution of all employees, with personal development and inclusion being priorities. We deeply care about the wellbeing of our employees and strive for a fun and healthy environment where you'll be able to roll your sleeves up and learn with like-minded talented people.

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