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- Tasks: Use data science and machine learning to analyse natural disaster risks and support client renewals.
- Company: Join Aon's top-rated Catastrophe Analytics team in a flexible work environment.
- Benefits: Enjoy competitive benefits, including Global Wellbeing Days and a focus on work/life balance.
- Why this job: Make a real impact by advising clients on catastrophe risks and developing innovative analytical tools.
- Qualifications: MSc in Data Science or Machine Learning; coding skills in Python, SQL, or R required.
- Other info: Be part of an inclusive team that values continuous learning and personal growth.
The predicted salary is between 36000 - 60000 £ per year.
Want to join a top Catastrophe Property Analytics team to advise clients on natural disaster risks? Can you bring an advanced qualification in Data Science and Machine Learning underpinned by practical coding, IT and data skills? If so, we would love to hear from you in connection with this brand-new role that comes with the flexibility to work both virtually and from our London office!
Aon is in the business of better decisions. At Aon, we shape decisions for the better to protect and enrich the lives of people around the world. As an organisation, we are united through trust as one inclusive team, and we are passionate about helping our colleagues and clients succeed.
What the day will look like:
- Use machine learning and data science to contribute to the suite of proprietary analytical and efficiency tools developed by Aon UK team.
- Conduct sophisticated spatial analyses and develop predictive models to uncover patterns, trends, and actionable solutions, supporting the creation of proprietary tools and datasets.
- Support client renewals, developing knowledge of cat and non-cat analytics, running all vendor models (e.g. RMS, Verisk, JBA, Impact Forecasting, CoreLogic).
- Clearly communicate insights, findings, and recommendations to technical and non-technical collaborators.
- Assist in the evolution of Aon's UK Event Response solutions, calculating client's potential incurred losses, post-event and on risk management basis.
- Participate in corporate practice groups and committees related to cat modelling, data science, ML, and cat risk management.
- Mentor and support junior team members in building their geospatial programming skills and technical expertise.
How this opportunity is different:
Aon's Catastrophe Analytics team is the best regarded of its kind in Europe. The team sits within Aon Reinsurance Solutions and provides clients (UK insurance companies, syndicates and reinsurers) with advice on their underlying risks, and exposures to natural disasters such as windstorms, floods and earthquakes. Comprised of enthusiastic and team-oriented individuals, the UK Property team is continuously looking for ways to evolve our clients' understanding and view of catastrophe risk. Working very closely with our brokers, academic partners and our model evaluation specialists enables us to perform and draw from expert analysis and experience to make better decisions for our clients.
Skills and experience that will lead to success:
- Experience: MSc or higher qualification ideally in Data Science and Machine Learning. BSc in Geography and/or Risk. (Re)insurance and Catastrophe modelling knowledge/experience ideal. Experienced in leveraging open-source datasets to develop analytical tools and insights. Familiar with CI/CD and DevOps platforms, including GitLab and Microsoft Azure.
- Skills: Strong communication skills (speaking, listening, and writing). Proficient data scientist with expertise in key frameworks and libraries, for example: Pandas, Geopandas, Rasterio, Apache Sedona, Mosaic, Scikit-learn, PyTorch; or equivalent. Coding skills in Python, SQL, R. ArcGIS / Mapping Tools. Tableau or PowerBI experience.
How we support our colleagues:
In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two "Global Wellbeing Days" each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.
Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.
Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace. Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience.
Catastrophe Risk Analyst - Property Analytics, Reinsurance in London employer: Aon Corporation
Contact Detail:
Aon Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Catastrophe Risk Analyst - Property Analytics, Reinsurance in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Aon on LinkedIn. Ask them about their experiences and any tips they might have for landing the Catastrophe Risk Analyst role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your machine learning and data science skills. Be ready to discuss how you've used these in past projects. Show us how you can apply your knowledge to real-world catastrophe risk scenarios!
✨Tip Number 3
Don’t forget to showcase your communication skills! Practice explaining complex data concepts in simple terms. This will help you connect with both technical and non-technical team members during the interview.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining our team at Aon. Let’s make those better decisions together!
We think you need these skills to ace Catastrophe Risk Analyst - Property Analytics, Reinsurance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Catastrophe Risk Analyst role. Highlight your experience in data science, machine learning, and any relevant coding skills. We want to see how your background aligns with what we’re looking for!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Use specific examples of how you've applied your data science and analytical skills in previous roles. This will help us see your potential impact on our team.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you’re passionate about catastrophe risk analysis and how your unique skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Aon Corporation
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge. Be ready to discuss specific frameworks and libraries like Pandas, Scikit-learn, or PyTorch. Prepare examples of how you've used these tools in past projects to demonstrate your practical coding skills.
✨Understand Catastrophe Modelling
Familiarise yourself with catastrophe modelling concepts and the vendor models mentioned in the job description, such as RMS and Verisk. Being able to explain how these models work and their relevance to risk management will show that you're serious about the role.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex ideas in simple terms. Think of a few scenarios where you've had to communicate insights effectively, and be ready to share those during the interview.
✨Show Your Team Spirit
Aon values teamwork, so be prepared to discuss how you've collaborated with others in the past. Highlight any mentoring experiences or times when you've supported junior team members, as this aligns well with the role's responsibilities.
