Actuarial Science Intern

Interns@SwissRe is our comprehensive internship program designed to provide students with a valuable combination of on-the-job training and off-the-job learning opportunities, all while benefiting from our company's global perspective. By joining our program, you'll have the chance to immerse yourself in the dynamic and fast paced world of a leading risk knowledge organization.

Our internship program is carefully crafted to offer impactful project work, engaging social and philanthropic activities that develop team building, industry-relevant training, and networking opportunities. We believe that a Swiss Re internship can be much more than just a temporary job; it can be your first step towards a rewarding and successful career.

If you're a highly motivated student pursuing a bachelor's or master's degree, we invite you to apply to our 2024 interns@SwissRe program! The program spans 12 weeks over the summer and is available at multiple office locations across the United States.

About the role

Swiss Re is a leading and highly diversified global reinsurer. The company operates through offices in over 25 countries. Founded in Zurich, Switzerland, in 1863, Swiss Re offers financial services products that enable risk-taking essential to enterprise and progress. The company's traditional reinsurance products and related services for property and casualty, as well as the life and health business are complemented by insurance-based corporate finance solutions and supplementary services for comprehensive risk management. (For more company information, go to www.swissre.com)

About the team

The Products Underwriting business function is the driving force behind product development and underwriting excellence at Swiss Re. It encompasses the Property & Specialty, Casualty and Life & Health divisions. It also deploys Swiss Re's knowledge and expertise to promote underwriting excellence and to provide standard criteria for risk pricing in life and non-life business. The Actuarial Intern will work within Treaty Casualty Products to analyze pricing parameters for different Casualty Lines of Business (Motor, General Liability, and Professional Liability) under the guidance and direction of the units' most Senior Actuaries. This project team's mandate is to continuously improve the quality and depth of our actuarial analysis through the establishment of a robust data library that will aid in parameter development. The candidate will also work on one of a number of research projects using the data already collected by the company and potentially integrating forward-looking predictive analysis where no prior data is available. For example, identifying, interpreting and quantifying economic, societal, legal, regulatory or other factors that will influence Casualty business. You will gain a good understanding of how actuarial and other data are used to price our products (treaties covering portfolios of original insured policies) as well as learn about a specific insurance product/coverage. You may also have the opportunity to test and develop pricing models and tools. In addition to working with the unit's Senior actuaries, you may engage with others in the team including senior underwriters, claims professionals and portfolio managers to accomplish your objectives. Overall this is an excellent opportunity for a candidate aspiring to a career in the (re)insurance actuarial, analytical or potentially underwriting disciplines.

About You

• Majors: Actuarial Science, Math or Economics (courses including 2 years calculus, 2 years probability and statistics)

• Should be a junior or sophomore in an undergraduate program

• Passed at least 1 actuarial exam

• Strong Excel skills; experience with Look-up Tables and Pivot Tables preferred; experience with Macros a plus

• Friendly and motivated; ability to work in a team setting, meet deadlines, and present findings

• Previous work experience is a strong plus

• Exceptional academic performance (minimum 3.25 GPA)

For Armonk, the base salary will be $20-$30 per hour, depending on location, qualifications, projected graduation year and/or highest degree held.