Actuarial Science Specialists for Hire - Fall Semester
General
- Undergraduate; 4th year, 3rd year
- 420 hours per learner
- Dates set by projects
- Learners apply to projects
Preferred companies
- 3/5 project matches
- Anywhere
- Payment by employer C$20.00 / hour
- Large enterprise, Any
- Insurance, Business services, Banking & finance
Categories
Skills
Overview
- Details
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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.
- Learner skills
- Competitive analysis, Business analytics, Data analysis, Research
- Deliverables
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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.
Additional company criteria
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.