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- Tasks: Analyse catastrophe risks using data science and machine learning to support clients.
- Company: Join Aon's top-rated Catastrophe Analytics team in a collaborative environment.
- Benefits: Enjoy flexible working, comprehensive benefits, and two Global Wellbeing Days each year.
- Why this job: Make a real impact by advising on natural disaster risks and enhancing client understanding.
- Qualifications: MSc in Data Science or Machine Learning; coding skills in Python, SQL, or R required.
- Other info: Inclusive culture with opportunities for continuous learning and career 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 employer: Stryker Corporation
Contact Detail:
Stryker Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Catastrophe Risk Analyst - Property Analytics, Reinsurance
✨Tip Number 1
Network like a pro! Reach out to professionals in the catastrophe risk and analytics field on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to catastrophe modelling or machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with tools like Python, SQL, and any relevant frameworks. Practice explaining complex concepts in simple terms – it’s key for communicating with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our careers page for new opportunities and updates. We’re always looking for passionate individuals to join our team!
We think you need these skills to ace Catastrophe Risk Analyst - Property Analytics, Reinsurance
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: In your application, don’t just list your skills—show us how you've used them! Whether it's through projects or previous roles, give us examples of how you've applied your data science and analytical skills in real-world scenarios.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about catastrophe risk analysis and how you can contribute to our team. Keep it engaging and make sure to connect your experiences to the job description.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you're keen on joining our team at Aon!
How to prepare for a job interview at Stryker 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 expertise.
✨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 importance in risk assessment 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 examples where you've had to communicate insights effectively, and be prepared to showcase your strong communication skills during the interview.
✨Show Your Team Spirit
Aon values teamwork, so be ready to discuss how you've collaborated with others in previous roles. Share experiences where you've mentored junior team members or contributed to a team project, highlighting your ability to work well in an inclusive environment.
