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Cyber Threat Analyst (Cyber Risk Model Engineering)

CyberCubeTallinn, Estonia | HarjumaaHybrid, Onsite
This job is no longer open
As a key member of the Cyber Risk Modeling (CRM) team under the Analytics department, this role will research and analyze robust cybersecurity datasets to engineer risk scoring pipeline models. The CRM team is responsible for building industry leading Cyber Risk Models through collaboration with our market leading Data Science, Data Engineering, and Application Engineering teams. This role works with these departments to create and then implement models into production environments.

Responsibilities


  • Provide a cyber expert point of view to evaluate data sources, develop and build product use cases, and develop assumptions and logic for cyber risk metrics
  • Build and validate cyber risk models and analytical engines for single-risk and aggregate-risk products for the insurance industry
  • Extract meaningful insights from the cyber threat landscape (e.g. cyber incidents, cyber risk trends, technological trends, etc.) to inform product development and educate internal and external stakeholders
  • Conduct in-depth research at the crossroads of cyber security, insurance, and risk modeling on topics of interest (e.g. critical vulnerabilities, malware, ransomware, trending exploits, data breach techniques, proof-of-concept hacks, etc.)
  • Work closely with product, analytics, engineering, and client success team members in day-to-day tasks and projects

Skills and Qualifications


  • Familiarity with Python / R, relational databases (incl. SQL), big data frameworks (Spark / Hadoop), flat files and complex data types (JSON, XML, etc.), APIs, and Excel
  • Bachelor’s or master’s degree in computer science, cyber security, statistics, economics, mathematics, or related field
  • 3-5 years of relevant work experience
  • Self-starter able to work well independently as well as in various team settings
  • Intellectual curiosity, willingness to learn new skills, and ability to contribute ideas
  • Excellent organizational and time management skills
  • Eager to work in an agile environment
  • An analytical mindset with problem-solving skills
  • Excellent communication and presentation skills
  • Experience working in one or more of the following industries & fields: cyber security, data science, risk modeling & management, and consulting

Why You'll Love It Here


  • Play an instrumental role in reshaping one of the oldest industries in the world
  • Competitive salary and meaningful early stage equity
  • Company paid learning and development assistance
  • Meaningful equity
  • ​​Vision and dental coverage
  • Fully stocked kitchen
  • Extra vacation days during winter holidays
  • Flexible working hours and the option to work from home when necessary
  • Company supported mentorship program
  • Grow in a collaborative, respectful, and empathetic culture 

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This job is no longer open

Life at CyberCube

CyberCube delivers data-driven cyber analytics built specifically for the insurance industry. CyberCube is focused on solving the most difficult and important cyber risk challenges in insurance with world-class analytics. Our team is composed of multi-disciplinary experts across data science, cyber security, software engineering, actuarial modeling and commercial insurance. CyberCube offers a software as a service platform for cyber risk aggregation modeling and insurance underwriting. The CyberCube platform was established in 2015 by Symantec to apply the cyber security company's unique sources of data, intelligence and expertise to cyber insurance analytics and now operates as a standalone company with continued access to Symantec data and resources.
Thrive Here & What We Value1. Competitive salary and meaningful early stage equity2. Healthcare benefits with medical, dental, and vision coverage3. Flexible working hours and remote work option4. Company-supported mentorship program5. Collaborative, respectful, empathetic culture6. Explosive team growth and client base expansion7. Exceptionally well-funded startup with no immediate need for additional capital8. Highly diverse, collaborative, high-performing team9. Continuous commitment to career excellence10. Industry recognition through awards (e.g., CyberCube's industry accolades)
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