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CyberCube is a leading analytics platform that quantifies digital risk for the world's largest global carriers, reinsurers, and brokers. The company helps these institutions understand, price, and manage cyber risk in financial terms. With AI at its foundation and deep cybersecurity and insurance expertise, CyberCube is trusted by over 100 clients, including 75% of the top 40 European and US cyber insurance carriers and 70% of the top ten reinsurance brokers. The company recently secured new investment from Spectrum Equity to accelerate global growth and innovation.
As an Actuary, you will apply statistical methods for comprehensive analysis of cyber risk models, stress-test internal models on an ongoing basis to ensure outputs meet expectations and customer demand, and identify bugs or corner cases requiring attention. You will identify, interpret, and validate key findings with team members to ensure high-quality deliverables, and communicate analysis results effectively to both internal and external customers. You will continuously validate and adapt models to changing environments and participate in internal research and development activities as needed. You will also provide analytical and actuarial support to other team members.
Secondary responsibilities include searching for and identifying relevant sources of publicly available information and data to support the development and enhancement of underwriting and actuarial tools. You will review data sources carefully to ensure consistency, identify deficiencies, and perform basic tests and analysis to confirm accuracy and improve data quality. You will create comprehensive documentation for the different modules involved in the creation of internal tools.
The role is based in the New York office with flexible working hours and the option to work from home when necessary. You will be part of a truly global team across San Francisco, New York, London, and Tallinn, working in a culture of collaboration, openness, intellectual rigor, and ownership for excellence.
REQUIREMENTS:
- 3 to 5 years of relevant work experience in actuarial analysis, data science, or related quantitative field
- Bachelor's degree in a related quantitative discipline such as statistics, actuarial science, data science, economics, mathematics, or equivalent relevant work experience
- Hands-on experience with VBA, SQL, R, Python, Tableau, or other statistical software
- Excellent analytical and problem-solving skills
- Ability to work independently and in a team environment
- Strong organization, attention to detail, thoroughness, and results-driven mindset
- Ability to analyze information and bias toward efficiency
