Lead Actuary

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 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. 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. #J-18808-Ljbffr Cybercube-Analytics