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 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.
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.
Skills Required
- Strong organization, attention to detail, confidentiality, thoroughness, independence, analytical ability, results orientation, and efficiency
- Ability to work independently and collaboratively 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
- 3 to 5 years of relevant work experience
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.







