At a Glance
- Tasks: Shape AI models by designing catastrophe management tasks and evaluating risk assessments.
- Company: Aptura, a leading AI research firm with a focus on finance and insurance.
- Benefits: Flexible remote work, competitive pay, and opportunities for ongoing collaboration.
- Other info: Part-time, project-based work with potential for long-term engagements.
- Why this job: Use your expertise to influence cutting-edge AI in the insurance sector.
- Qualifications: 5-8+ years in catastrophe modeling or exposure management; familiarity with key analysis tools.
The predicted salary is between 80000 - 200000 £ per year.
Aptura works with leading foundational AI labs to bring institutional finance expertise directly into AI model development. Founded by ex-Lazard and Partners Group professionals, we operate from London and San Francisco.
The Opportunity
You’ve built deep expertise in catastrophe modeling, exposure management, portfolio aggregation, or reinsurance analytics, and produced work that drives real decisions. Now that expertise has a new application: shaping how frontier AI models reason through complex insurance problems.
What you'll do
- Design realistic catastrophe and exposure management tasks: catastrophe modeling exercises, accumulation assessments, portfolio exposure reviews, and reinsurance exposure decisions without clean answers.
- Write evaluation rubrics that reflect how experienced catastrophe and exposure professionals reason through data quality, model assumptions, accumulation risk, PML interpretation, and reinsurance implications.
- Review AI-generated catastrophe analyses, exposure assessments, and portfolio risk evaluations, identifying where models misinterpret catastrophe outputs, overlook accumulation risks, or misuse exposure data.
- Build reference catastrophe studies and benchmark exposure analyses that set the standard models to be tested.
- Communicate catastrophe risk assessments, exposure judgments, and rationale clearly in writing.
How Engagements Work
Fully remote, part-time, and flexible. Work is scoped by project and ranges from short engagements to ongoing collaborations, structured as a contract or a monthly retainer.
You May Be A Good Fit If:
- 5–8+ years in catastrophe modeling or exposure management at an insurer, reinsurer, broker, or modeling vendor.
- You’ve managed catastrophe exposure, accumulation analysis, PML reporting, or portfolio risk assessments that informed underwriting or reinsurance decisions.
- Hands-on experience with Moody’s RMS and/or Verisk Touchstone, and familiarity with PML, AEP, and OEP analysis.
- ACII, a catastrophe modeling qualification, or a numerate degree (preferred, not required).
- You can explain what catastrophe model outputs do and do not tell you clearly enough to teach the reasoning, not just the outcome.
Compensation
$80–$200 per hour, aligned with expertise, scope, and impact; exceptional or highly specialised expertise can go higher. Ongoing engagements are typically structured as a monthly retainer rather than on an hourly basis.
Catastrophe & Exposure Management Expert for AI Research Project employer: Aptura
Aptura is an exceptional employer that offers a unique opportunity to work at the intersection of finance and AI, providing a flexible, fully remote work environment that allows for meaningful contributions to cutting-edge projects. With a culture that values expertise and innovation, employees are encouraged to grow their skills in catastrophe modeling and exposure management while collaborating with leading AI labs. The competitive compensation structure reflects the value placed on specialised knowledge, making Aptura an attractive choice for professionals seeking impactful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Catastrophe & Exposure Management Expert for AI Research Project
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and AI sectors. Attend industry events or webinars where you can meet potential employers and showcase your expertise in catastrophe modeling.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your past projects in catastrophe modeling and exposure management. Use real examples to demonstrate how your work has driven decisions and improved outcomes.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI applications in insurance. Be ready to discuss how your experience with tools like Moody’s RMS and Verisk Touchstone can contribute to innovative solutions at Aptura.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to cutting-edge AI research.
We think you need these skills to ace Catastrophe & Exposure Management Expert for AI Research Project
Some tips for your application 🫡
Show Off Your Expertise:Make sure to highlight your deep expertise in catastrophe modeling and exposure management. We want to see how your experience drives real decisions, so don’t hold back on showcasing your achievements!
Tailor Your Application:Customise your application to reflect the specific skills and experiences mentioned in the job description. We love it when candidates connect their background directly to what we’re looking for, so make it personal!
Be Clear and Concise:When writing about your experience, clarity is key! We appreciate straightforward communication, especially when it comes to complex topics like catastrophe risk assessments. Keep it simple and to the point.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Aptura
✨Know Your Stuff
Make sure you brush up on your catastrophe modeling and exposure management knowledge. Be ready to discuss specific projects you've worked on, especially those that involved portfolio aggregation or reinsurance analytics. This will show that you not only understand the theory but also have practical experience.
✨Prepare for Technical Questions
Expect some technical questions about tools like Moody’s RMS and Verisk Touchstone. Familiarise yourself with PML, AEP, and OEP analysis, and be prepared to explain how these concepts apply to real-world scenarios. This will demonstrate your hands-on experience and analytical skills.
✨Showcase Your Communication Skills
Since clear communication is key in this role, practice explaining complex concepts in simple terms. You might be asked to present a past project or analysis, so think about how you can convey your findings effectively. This will highlight your ability to teach others and share insights.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the types of projects you might work on or how the team collaborates on AI model development. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
