Job prospects Mathematical Statistician in Ontario
Explore current and future job prospects for people working as a "mathematical statistician" in Ontario or across Canada.
Job opportunities in Ontario
These outlooks were updated on December 11, 2024.
Prospects over the next 3 years
The employment outlook will be moderate for Mathematicians, statisticians and actuaries (NOC 21210) in Ontario for the 2024-2026 period.
The following factors contributed to this outlook:
- Employment growth will lead to a moderate number of new positions.
- Not many positions will become available due to retirements.
- There are a small number of unemployed workers with recent experience in this occupation.
What Types of Employers Are Out There?
- A variety of industries, but leading share with insurance carriers
- Management consulting and scientific research firms
- Federal government departments.
What are the Main Trends Affecting Employment?
- Emphasis on the use of large bodies of data ('Big Data') to inform decision-making should bode well for mathematicians, statisticians and actuaries
- Significant changes in business operations, including finance and insurance services, are expected to add job prospects to forecast and prevent operational risks
- Demand for actuaries usually depends on activities in employee benefit consulting firms, risk management departments in various companies, and life, property and casualty insurance providers
What Skills Do I Need to Succeed?
- The Canadian Institute of Actuaries is the qualifying and governing body for the actuarial profession
- The designation, Fellow of the Canadian Institute of Actuaries (FCIA) is needed to practise as an actuary in Canada
What Other Information Will I Find Helpful?
- The length of testing and training to achieve a Fellow designation from the Canadian Institute of Actuaries can take on average between seven to nine years, including a university education.
Here are some key facts about Mathematicians, statisticians and actuaries in Ontario:
- Approximately 6,050 people work in this occupation.
- Mathematicians, statisticians and actuaries mainly work in the following sectors:
- Insurance Carriers and related activities (NAICS 524, 526): 36%
- Federal government public administration (NAICS 911): 17%
- Other professional, scientific and technical services (NAICS 5414, 5416-5419): 17%
- Monetary Authorities - central bank and securities, commodity contracts and other intermediation and related activities (NAICS 521, 522, 523): 5%
- The distribution of full-time and part-time workers in this occupation is:
- Full-time workers: 93% compared to 81% for all occupations
- Part-time workers: 7% compared to 19% for all occupations
- 81% of mathematicians, statisticians and actuaries work all year, while 19% work only part of the year, compared to 63% and 37% respectively among all occupations. Those who worked only part of the year did so for an average of 47 weeks compared to 43 weeks for all occupations.
- Less than 5% of mathematicians, statisticians and actuaries are self-employed compared to an average of 15% for all occupations.
- The gender distribution of people in this occupation is:
- Men: 52% compared to 52% for all occupations
- Women: 48% compared to 48% for all occupations
- The educational attainment of workers in this occupation is:
- no high school diploma: n/a
- high school diploma or equivalent: less than 5% compared to 25% for all occupations
- apprenticeship or trades certificate or diploma: n/a
- college certificate or diploma or university certificate below bachelor's: less than 5% compared to 22% for all occupations
- bachelor's degree: 52% compared to 24% for all occupations
- university certificate, degree or diploma above bachelor level: 45% compared to 13% for all occupations
Breakdown by region
Explore job prospects in Ontario by economic region.
Legend
Source Labour Market Information | Prospects Methodology
Job prospects elsewhere in Canada
Explore current and future job prospects for people working as a "mathematical statistician" in Ontario or across Canada.
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