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For Companies At a Glance
- Tasks: Analyse catastrophe models and develop innovative tools for risk assessment.
- Company: Leading insurance company based in Central London with a focus on risk management.
- Benefits: Competitive salary, annual bonus, and generous pension scheme.
- Why this job: Join a dynamic team and make a real impact on global risk analysis.
- Qualifications: Graduate degree in relevant fields and experience with catastrophe modelling.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 42000 - 66000 £ per year.
An exceptional opportunity for a Catastrophe Research Analyst to join a leading Insurance company in Central London.
About the Role
The Catastrophe Research Analyst will join the Corporate Enterprise Risk Management team. In this role, you will review catastrophe models licensed by proprietary View of Risk. This includes analysing a variety of global peril regions and staying up to date with the latest scientific research. Additional responsibilities include reviewing non-modeled perils, back-testing historical event claims, and developing tools and processes in collaboration with the wider team.
The Team
The Catastrophe R&D team consists of analysts with expertise in natural hazards, engineering, catastrophe risk and insurance risk modelling. The team is responsible for creating a view of catastrophe risk and is part of the Corporate Exposure Management function.
Key Responsibilities
- Evaluate Catastrophe models (e.g., Verisk), including designing model tests, reviewing vendor/broker evaluation documents and making recommendations for model adjustments.
- Support development of the View of Risk by collaborating with catastrophe modelling, actuarial, claims, and underwriting teams.
- Create custom tools for non-modeled or poorly modeled risks and develop novel techniques for model evaluation, including GIS and other analytical tools.
- Identify potential large-loss scenarios and assess emerging risks.
- Ensure compliance with all relevant regulatory requirements and demonstrate behaviours aligned with our company values, including integrity and customer focus.
Skills and Experience
- Graduate degree in geosciences, atmospheric science, mathematics, engineering or related fields.
- Experience with catastrophe modelling.
- Strong knowledge of at least one catastrophe model suite (e.g., RMS, Verisk) or experience in model development.
- Solid understanding of insurance concepts and exposure management processes.
- Proficiency in data mining and handling large datasets.
- Data analysis experience (e.g., R, Python, SQL).
- Strong statistical and quantitative modelling skills with excellent communication abilities.
- Experience with GIS software or geospatial data analysis preferred.
The Package
Salary up to £55,000, 10% Annual Bonus, Generous Pension scheme.
Catastrophe Research Analyst in City of London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Catastrophe Research Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and catastrophe modelling fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of catastrophe models and the latest scientific research. Be ready to discuss how you can contribute to the team’s goals and demonstrate your analytical skills with real-world examples.
✨Tip Number 3
Don’t just apply; engage! When you submit your application through our website, follow up with a friendly email to the hiring manager expressing your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Showcase your technical skills! If you have experience with GIS software or data analysis tools like R or Python, make sure to highlight these in your conversations. Being able to talk about your hands-on experience can set you apart from other candidates.
We think you need these skills to ace Catastrophe Research Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Catastrophe Research Analyst role. Highlight your experience with catastrophe modelling and any relevant technical skills, like data analysis or GIS software. We want to see how your background fits perfectly with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about catastrophe research and how your skills align with our team’s goals. Don’t forget to mention any specific projects or experiences that showcase your expertise in the field.
Showcase Your Analytical Skills: Since this role involves a lot of data analysis, make sure to highlight your proficiency in tools like R, Python, or SQL. We love seeing examples of how you've used these skills in past roles, so don’t hold back on sharing your achievements!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Lorien
✨Know Your Catastrophe Models
Make sure you brush up on the specific catastrophe models mentioned in the job description, like Verisk or RMS. Be ready to discuss your experience with these models and how you've used them in past roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your data analysis skills, especially with tools like R, Python, or SQL. Bring examples of how you've handled large datasets or developed custom tools for risk evaluation in previous positions.
✨Stay Updated on Emerging Risks
Research recent trends in catastrophe risks and emerging threats. Being able to discuss current events or scientific research related to natural hazards will show your passion and commitment to the field.
✨Communicate Clearly
Since communication is key in this role, practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively to both technical and non-technical audiences during the interview.
