At a Glance
- Tasks: Analyse cyber risk data and develop models to enhance insurance strategies.
- Company: Reputable international insurance firm with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on advanced data capabilities and career development.
- Why this job: Join a cutting-edge team shaping the future of cyber risk management.
- Qualifications: Experience in risk analytics, strong programming skills, and a knack for data insights.
The predicted salary is between 50000 - 65000 € per year.
This role sits within a specialist cyber risk and catastrophe modelling function focused on strengthening underwriting strategy, risk appetite setting, and accumulation control across cyber lines of business. The position plays a key part in developing and maintaining analytical frameworks, models, and reporting tools that support informed decision‑making around both affirmative and non‑affirmative cyber exposures. You will work at the intersection of data, cyber risk, and insurance modelling, translating complex datasets and emerging cyber threat intelligence into actionable insights that shape portfolio strategy and risk controls across a wider group environment.
Key Responsibilities:
- Lead the bi‑annual cyber line‑of‑business breakdown process, including data collection, validation, analysis, and production of reporting outputs (Power BI dashboards and formal reports), engaging with stakeholders for review and feedback.
- Cleanse, process, and manage exposure and claims data within SQL‑based systems, ensuring accuracy and usability for modelling and reporting.
- Support the development and enhancement of cyber accumulation control frameworks across both affirmative and non‑affirmative exposures.
- Maintain and refine cyber risk scenarios and contribute to the application of catastrophe modelling techniques and other quantitative approaches.
- Identify and integrate relevant internal and external data sources to improve scenario design and cyber risk insight generation.
- Support validation of external vendor models and contribute to understanding of the wider modelling ecosystem.
- Calculate Probable Maximum Loss (PML) estimates and support risk appetite calibration across portfolios.
- Contribute to the ongoing development of data collection processes, including exploration of machine learning and text analytics for cyber intelligence.
- Translate conceptual risk ideas into structured mathematical and statistical models for loss simulation.
- Communicate model outputs, assumptions, and uncertainties clearly to technical and non‑technical stakeholders.
- Stay current with developments in cyber security research and emerging risk trends.
- Support market intelligence outputs, including contributing content and improving presentation quality and structure.
- Work independently and collaboratively to solve complex modelling and data challenges.
What We're Looking For:
- Experience in catastrophe modelling, exposure management, or a similar risk analytics function.
- Strong capability in building and maintaining risk scenarios, including both narrative development and quantitative loss modelling.
- Advanced proficiency in Microsoft Excel.
- Strong programming skills in R or Python.
- Solid understanding of statistics and probability theory.
- Experience working with large, complex datasets including SQL databases.
- Ability to extract insight from data and translate findings into clear business recommendations.
- Strong communication skills, with the ability to explain complex technical concepts to varied audiences.
- Ability to work independently and manage competing priorities effectively.
- Experience in cyber risk, insurance, or a related technical domain (e.g. cyber security, risk modelling, or actuarial science).
Desirable but Not Essential:
- Formal qualification or training in cyber security or a related field.
- Experience with machine learning or natural language processing techniques.
- Familiarity with vendor catastrophe modelling tools and validation processes.
- Exposure to insurance accumulation control frameworks.
- Experience working in a cross‑functional or group‑level risk environment.
About the Company:
A well‑established international insurance organisation operating across multiple lines of business, with a strong reputation for technical excellence in risk underwriting and modelling. The business has a collaborative, analytically driven culture and is investing in advanced data capabilities, cyber risk frameworks, and innovation in catastrophe modelling to support long‑term portfolio resilience and strategic growth.
Cyber Data & Catastrophe Analyst in London employer: Equity City
Join a leading international insurance organisation renowned for its technical excellence and collaborative culture, where your role as a Cyber Data & Catastrophe Analyst will be pivotal in shaping risk strategies and enhancing data capabilities. With a strong focus on employee growth and innovation, you will have the opportunity to work with advanced analytical frameworks and contribute to meaningful projects that drive strategic growth in the cyber risk domain.
StudySmarter Expert Advice🤫
We think this is how you could land Cyber Data & Catastrophe Analyst in London
✨Network Like a Pro
Get out there and connect with people in the cyber risk and insurance world. Attend industry events, join relevant online forums, and don’t be shy about reaching out to professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with SQL databases, R or Python programming, and your knack for translating complex data into actionable insights. We want to see how you can bring value to the team!
✨Prepare for the Interview
Do your homework on the company and the role. Brush up on your knowledge of catastrophe modelling and cyber risk trends. We recommend preparing some questions to ask during the interview to show your genuine interest and enthusiasm for the position.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged with our brand.
We think you need these skills to ace Cyber Data & Catastrophe Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Cyber Data & Catastrophe Analyst. Highlight your experience in catastrophe modelling and risk analytics, and don’t forget to mention your programming skills in R or Python!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about cyber risk and how your skills can contribute to our team. Keep it concise but impactful!
Showcase Your Analytical Skills:In your application, emphasise your ability to work with large datasets and your experience in building risk scenarios. We want to see how you can translate complex data into actionable insights!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Equity City
✨Know Your Cyber Stuff
Make sure you brush up on the latest trends in cyber security and catastrophe modelling. Familiarise yourself with key concepts like exposure management and risk appetite, as well as any recent developments in the field. This will show that you're not just knowledgeable but also genuinely interested in the role.
✨Showcase Your Data Skills
Be ready to discuss your experience with SQL databases, R or Python programming, and how you've handled large datasets in the past. Prepare examples of how you've translated complex data into actionable insights, as this is crucial for the role. Don't forget to mention any specific tools you've used, like Power BI!
✨Communicate Clearly
Since you'll be explaining complex technical concepts to both technical and non-technical stakeholders, practice how you can simplify your explanations. Think about how you would present your findings from a modelling project to someone without a technical background. Clear communication is key!
✨Prepare for Scenario Questions
Expect questions about how you would approach building and maintaining risk scenarios. Think through your process for cleansing and managing data, and be ready to discuss how you would apply catastrophe modelling techniques. Having a structured approach will impress your interviewers.
