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Catastrophe Risk Analyst - Property Analytics, Reinsurance

Stryker Corporation

City Of London

On-site

Confidential

Full time

23 days ago

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Job summary

A leading insurance analytics firm based in London is seeking a Catastrophe Risk Analyst to utilize data science and machine learning for advising clients on natural disaster risks. The ideal candidate will hold an advanced qualification in Data Science, possess coding skills in Python and SQL, and have strong communication abilities. The role supports flexible working arrangements and is part of a well-regarded analytics team.

Benefits

Comprehensive benefits package
Two Global Wellbeing Days
Agile working environment

Qualifications

  • Strong experience in (Re)insurance and Catastrophe modelling.
  • Experienced in leveraging open-source datasets.
  • Familiar with GitLab and Microsoft Azure.

Responsibilities

  • Use machine learning to enhance proprietary analytical tools.
  • Conduct spatial analyses and develop predictive models.
  • Support client renewals with analytical insights.

Skills

Machine learning
Data science
Strong communication skills
Python
SQL
Tableau

Education

MSc or higher in Data Science and Machine Learning
BSc in Geography and/or Risk

Tools

ArcGIS
Tableau
PowerBI
CI/CD and DevOps platforms
Job description
Catastrophe Risk Analyst, Property Analytics, Reinsurance

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'd 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

In this wide and varied role your responsibilities will include:

  • 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.

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