Actuarial Science Specialists for Hire - Fall Semester

University of Toronto
Toronto, Ontario, Canada
Megan Whitehead-Douglas
Internship and Mentorship Administrator
3
Experience
3 projects wanted
Dates set by projects
Preferred companies
Anywhere
Large enterprise, Any
Insurance, Business services, Banking & finance
Categories
Financial modeling Machine learning Databases Data analysis Data modelling
Skills
competitive analysis business analytics data analytics data analysis research
Learner goals and capabilities

Our Actuarial Science Specialist Program is an accredited program under the Canadian Institute of Actuaries University Accreditation Program. Our programs are also recognized as a Centre of Actuarial Excellence under the Society of Actuaries Centers of Actuarial Excellence (CAE) Program. In 2019, we received the Casualty Actuarial Society (CAS) University Award for "the innovative and exemplary ways" our program is preparing students for their career.

Students in our Actuarial Science program come with a variety of skills sets and experiences. As part of their degree requirements, students in our Actuarial Science Specialist program are required to complete 420 (full time, continuous) hours - this usually translates into a standard 4 month opportunity. Students may be available for longer, depending on your project and organizational requirements. Students have spent the past year adapting to online development, and are comfortable taking on new challenges in a remote landscape.

Learners
Undergraduate
Any level
Project
420 hours per learner
Learners apply to projects
Expected outcomes and deliverables

Interns will provide a fresh and professional look into whatever project you hire them for. Their academic background is robust in scope and demanding in nature. We seek to match them with opportunities that allow them to learn and grow as well as contribute. Students must complete 420 hours (full-time work) but, are available for longer as needed.

Project Examples

These students have varying background and are in their 3rd or 4th year of a demanding degree program which has included;

  • Data Analysis (methods & practical applications)
  • Computer Science courses
  • Advanced Life Contingencies
  • Loss Models
  • Financial Principles
  • Applied probability
  • Statistical Methods for Machine Learning
  • Varying mathematical courses
  • AXIS/GGY
  • More

This allows for a diverse candidate pool for any projects you have available; each student brings a solid academic foundation to their individual personalities and experiences. Please reach out for more details and resumes.

Companies must answer the following questions to submit a match request to this experience:

Be available for a quick phone call with the coordinator to initiate your relationship and confirm your scope in an appropriate fit for the internship. We would like the company to commit to a supportive environment where the student can add value while learning.