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- Tasks: Develop and test cyber risk models while analysing data trends.
- Company: Join a leading global insurance group focused on innovation and collaboration.
- Benefits: Enjoy flexible working arrangements and a supportive, inclusive workplace.
- Why this job: Make an impact in the evolving field of cyber risk with cutting-edge challenges.
- Qualifications: Advanced Excel skills, proficiency in Python and R, and insurance research experience required.
- Other info: Opportunity to work independently and collaboratively in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Cyber Insurance Model Researcher
London
Our client, one of the world's largest global insurance groups offering both specialist insurance and reinsurance, is seeking an exceptional Cyber Insurance Model Researcher to join their team.
This is a unique opportunity to contribute to the development of their cyber underwriting strategy, risk appetite, cyber innovation and cyber accumulation controls for both affirmative and non-affirmative coverages.
As a Cyber Insurance Model Researcher, you will:
- Develop and test cyber risk scenarios and models to assess their impact.
- Analyse portfolio data for trends and support scenario development and stress testing.
- Collaborate with internal teams to advance cyber modelling tools and processes.
- Communicate risk insights to key stakeholders and enhance understanding of cyber exposure.
- Stay at the forefront of cyber security trends and integrate findings into actionable strategies.
Our client is looking for someone who brings:
- The ability to help develop the group’s Cyber accumulation control.
- Building models for affirmative and non-affirmative coverages.
- Advanced skills in Excel, and proficiency in Python and R.
- Proven experience in insurance related research, working with Actuaries.
- The ability to work both independently and collaboratively in a fast-paced environment.
Why Apply?
This is an exciting chance to join a dynamic organisation that values innovation, collaboration, and professional growth. Our client offers a supportive, inclusive workplace, flexible working arrangements, and the opportunity to work on cutting-edge cyber risk challenges.
If you’re ready to take the next step in your career and make an impact in the evolving field of cyber risk, we’d love to hear from you.
We do not retain any personal information without your permission. Please refer to our data protection policy on our official website for more information – www.edenjames.co.uk
Cyber Insurance Model Researcher employer: Eden James Consulting Limited
Contact Detail:
Eden James Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cyber Insurance Model Researcher
✨Tip Number 1
Familiarise yourself with the latest trends in cyber security and insurance. This will not only help you understand the industry better but also allow you to engage in informed discussions during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the cyber insurance field. Attend relevant conferences, webinars, or local meetups to connect with industry experts. Building these relationships can lead to valuable insights and potential referrals for job opportunities.
✨Tip Number 3
Brush up on your technical skills, especially in Python and R, as well as advanced Excel functions. Consider working on personal projects or contributing to open-source initiatives that demonstrate your ability to develop and test cyber risk models.
✨Tip Number 4
Prepare to discuss your previous experience in insurance-related research. Be ready to share specific examples of how you've collaborated with teams or developed models, as this will highlight your suitability for the Cyber Insurance Model Researcher role.
We think you need these skills to ace Cyber Insurance Model Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in cyber insurance, risk modelling, and data analysis. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills in Excel, Python, and R can contribute to their cyber underwriting strategy and mention any relevant projects or experiences.
Showcase Your Analytical Skills: Provide examples of past work where you developed or tested risk models. Highlight your ability to analyse data trends and communicate insights effectively, as these are crucial for the role.
Prepare for Potential Questions: Think about how you would explain complex cyber risk scenarios and your approach to developing accumulation controls. Be ready to discuss your collaborative experiences with internal teams and how you stay updated on cyber security trends.
How to prepare for a job interview at Eden James Consulting Limited
✨Showcase Your Technical Skills
Make sure to highlight your advanced skills in Excel, Python, and R during the interview. Be prepared to discuss specific projects where you've used these tools to develop models or analyse data, as this will demonstrate your technical proficiency.
✨Understand Cyber Risk Trends
Stay updated on the latest trends in cyber security and risk management. Being able to discuss recent developments and how they impact insurance will show your passion for the field and your ability to integrate findings into actionable strategies.
✨Prepare for Scenario Development Questions
Expect questions about developing and testing cyber risk scenarios. Prepare examples of how you've approached scenario analysis in the past, including any stress testing you've conducted, to illustrate your analytical capabilities.
✨Emphasise Collaboration Experience
Since the role involves working with internal teams, be ready to share experiences where you've successfully collaborated with others. Highlight your ability to communicate complex risk insights clearly to stakeholders, as this is crucial for advancing cyber modelling tools and processes.