
Lead Actuary
Primary stack
Job description
About the Position
Lead Actuary
We are seeking a Lead Actuary to apply statistical methods for comprehensive analysis and stress-testing internal models at CyberCube.
Location
New York Office; Washington DC
Employment Type
Full time
Location Type
Hybrid
Department
Product OrganizationAnalytics
Compensation
- $125K – $145K
The salary range posted reflects what you can typically expect for this role. We tailor each offer to the individual, considering market rates, your experience and qualifications, and your location. Additional benefits will be shared during the hiring process.
About the Company
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 Lead 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.
Responsibilities
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
- 3 to 5 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.
Compensation Range: $125K - $145K
© CyberCube. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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.
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