Cyber Data & Catastrophe Analyst

We are seeking a skilled Cyber Data & Catastrophe Analyst to join our client's dynamic team. Our client is a leading London market insurance company.
The successful candidate will play a vital role in enhancing their cyber risk management strategies and supporting the development of robust cyber underwriting practices. This role is ideal for someone with a strong background in catastrophe modeling, cyber security, and data analysis who is passionate about staying at the forefront of the cyber risk landscape.
Key Responsibilities:

• Cyber Accumulation Control: Assist in the enhancement and maintenance of the cyber accumulation control framework for both affirmative and non-affirmative exposures. Use cyber models and scenarios to quantify risks.
  
• Data Sourcing & Scenario Development: Collaborate with cyber actuaries to identify key data sources, build relationships, and refine existing processes to improve scenario development and usage.
  
• Risk Communication: Clearly communicate the organization’s Cyber View of Risk to stakeholders, addressing any model uncertainties while maintaining credibility and confidence.
  
• Portfolio Risk Management: Calculate Probable Maximum Loss (PML) figures for portfolios and contribute to steering the overall risk appetite.
  
• Advanced Data Techniques: Support the development of data collection methods using techniques like textual analysis and machine learning to gather actionable cyber security intelligence.
  
• Modeling & Innovation: Work autonomously and collaboratively to develop mathematical models for loss simulation and integrate new concepts into practical tools.
  
• Third-Party Model Validation: Assist in validating third-party models and navigate the vendor model ecosystem effectively.
  
• Market Intelligence: Contribute to the Market Intelligence function by enhancing content and improving layout/design.
  Qualifications & Skills:
  
• Experience: Proven experience in catastrophe modeling or exposure management, with a strong track record in scenario building and loss calculation.
  
• Education: Master’s degree or higher in Cyber Security, Cyber Insurance, or a related field.
  
• Technical Proficiency:
  
  • Advanced skills in MS Excel.
    
  • Proficient in R or Python.
    
  • Strong grasp of statistics and probability theory.
    
• Cyber Security Expertise: Formal training or substantial experience in cyber security, with deep knowledge of current and emerging trends