Actuarial Intern (Accumulation Analyst)

Job Description

This is an exciting 5 to 6 months internship opportunity starting in January, February, or March to join our Global P&C CUO Portfolio Monitoring Team, a collaborative group working across all Property & Casualty Lines of Business.

As part of this team, you’ll gain hands-on experience with analytics, collaborating closely with underwriters, pricers, modelers, and other key stakeholders to monitor and analyze our portfolio’s exposure to various global perils, including natural catastrophes, terrorism, strikes, and more.

After initial training, you’ll contribute to the development of tools and processes that enhance our understanding of underlying risks and exposures. You’ll work on a variety of analytical projects, such as developing visualization tools, exposure maps, and extending risk modeling for diverse types of business exposures.

If you’re passionate about innovative problem-solving and want to learn in an international, agile environment, we encourage you to apply!

Responsibilities

After adequate training, you will actively participate in the development of processes and tools to better monitor and understand our exposure. These may imply multiple topics, such as:

• Geospatial visualization of exposed data:

As a global reinsurer, we inherit the exposure of our 2000+ clients, which is challenging to assess and monitor. Our team has been working for a long time on a project to better understand our underlying risks and their exposure to catastrophes.

Having built strong processes for data gathering and referencing, we have now started to develop analysis tools to visualize and contextualize our clients’ risks, featuring exposure maps, market shares analysis, and other analytics.

• Extension of modeling to specific classes of business and other perils

In addition to this exposure library, we need to develop methods to compute various metrics on its content and visualize/contextualize the results. These methods and processes may have different aims, e.g.:

- CAT Vendor models are often designed for property types of exposure, but there is a need to extend the modeling (i.e. hazard, vulnerability, coverages) to other classes of business such as offshore assets or motor.

- Developing our own man-made scenarios for other perils, including terrorism, SRCC (Strikes, Riots, and Civil Commotion), and coinsurance/conflagration risk.

- Developing the capability to join our exposure with hazard layers (geographic representations of a hazard) coming from various sources and create a scoring mechanism.

Based on your profile, we may tailor the duties of the internship to better reflect your skill set.

If you're someone who likes to solve problems and challenge yourself with innovative analysis, bringing creativity and new perspectives, we encourage you to apply!

Qualifications

• In master's 1 year or 2nd year of an Engineering/Data/Actuarial degree.
• Have great R or Python and SQL skills.
• Experience with GIS would be great.
• Fluency in English and French is a must.