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 33000 - 77000 £ 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 London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Catastrophe Research Analyst in 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 technical skills. Make sure you can discuss catastrophe models and data analysis confidently. We recommend practising common interview questions related to risk assessment and model evaluation.
✨Tip Number 3
Showcase your projects! If you've developed tools or conducted analyses in the past, create a portfolio to demonstrate your skills. This will help you stand out and give potential employers a taste of what you can bring to their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Catastrophe Research Analyst in 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. Keep it engaging and personal – we love getting to know the real you!
Showcase Your Analytical Skills: Since this role involves a lot of data analysis, make sure to showcase your analytical skills in your application. Mention specific tools you've used, like R or Python, and any projects where you've tackled complex datasets. We’re keen to see your problem-solving prowess!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it shows 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 and Confidently
Since communication is key in this role, practice explaining complex concepts in simple terms. Prepare to articulate your thoughts clearly during the interview, especially when discussing technical topics.